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You searched for +publisher:"Colorado State University" +contributor:("Pezeshki, Ali"). Showing records 1 – 30 of 40 total matches.

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Colorado State University

1. Wilson, William. Low-noise, low-power transimpedance amplifier for integrated electrochemical biosensor applications.

Degree: MS(M.S.), Electrical and Computer Engineering, 2014, Colorado State University

 Biosensor devices have found an increasingly broad range of applications including clinical, biological, and even pharmaceutical research and testing. These devices are useful for detecting… (more)

Subjects/Keywords: biosensor; transimpedance; low-power; integrated; electrochemistry

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APA (6th Edition):

Wilson, W. (2014). Low-noise, low-power transimpedance amplifier for integrated electrochemical biosensor applications. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/84578

Chicago Manual of Style (16th Edition):

Wilson, William. “Low-noise, low-power transimpedance amplifier for integrated electrochemical biosensor applications.” 2014. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/84578.

MLA Handbook (7th Edition):

Wilson, William. “Low-noise, low-power transimpedance amplifier for integrated electrochemical biosensor applications.” 2014. Web. 17 Jan 2021.

Vancouver:

Wilson W. Low-noise, low-power transimpedance amplifier for integrated electrochemical biosensor applications. [Internet] [Masters thesis]. Colorado State University; 2014. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/84578.

Council of Science Editors:

Wilson W. Low-noise, low-power transimpedance amplifier for integrated electrochemical biosensor applications. [Masters Thesis]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/84578


Colorado State University

2. Moin, Nabeel. Randomized hierarchical semi-separable structures for parallel direct double-higher-order method of moments.

Degree: MS(M.S.), Electrical and Computer Engineering, 2017, Colorado State University

 As technology grows more and more rapidly, the need for large-scale electromagnetics modelling arises. This includes software that can handle very large problems and simulate… (more)

Subjects/Keywords: double-higher-order; hierarchical semi-separable structures; randomized sampling; fast multipole method; computational electromagnetics; method of moments

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APA (6th Edition):

Moin, N. (2017). Randomized hierarchical semi-separable structures for parallel direct double-higher-order method of moments. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/185771

Chicago Manual of Style (16th Edition):

Moin, Nabeel. “Randomized hierarchical semi-separable structures for parallel direct double-higher-order method of moments.” 2017. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/185771.

MLA Handbook (7th Edition):

Moin, Nabeel. “Randomized hierarchical semi-separable structures for parallel direct double-higher-order method of moments.” 2017. Web. 17 Jan 2021.

Vancouver:

Moin N. Randomized hierarchical semi-separable structures for parallel direct double-higher-order method of moments. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/185771.

Council of Science Editors:

Moin N. Randomized hierarchical semi-separable structures for parallel direct double-higher-order method of moments. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/185771


Colorado State University

3. Smull, Aaron P. Conformal perfectly matched layer for electrically large curvilinear higher order finite element methods in electromagnetics, The.

Degree: MS(M.S.), Electrical and Computer Engineering, 2017, Colorado State University

 The implementation of open-region boundary conditions in computational electromagnetics for higher order finite element methods presents a well known set of challenges. One such boundary… (more)

Subjects/Keywords: finite element method; perfectly matched layer; computational electromagnetics; scattering; numerical methods

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APA (6th Edition):

Smull, A. P. (2017). Conformal perfectly matched layer for electrically large curvilinear higher order finite element methods in electromagnetics, The. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/184021

Chicago Manual of Style (16th Edition):

Smull, Aaron P. “Conformal perfectly matched layer for electrically large curvilinear higher order finite element methods in electromagnetics, The.” 2017. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/184021.

MLA Handbook (7th Edition):

Smull, Aaron P. “Conformal perfectly matched layer for electrically large curvilinear higher order finite element methods in electromagnetics, The.” 2017. Web. 17 Jan 2021.

Vancouver:

Smull AP. Conformal perfectly matched layer for electrically large curvilinear higher order finite element methods in electromagnetics, The. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/184021.

Council of Science Editors:

Smull AP. Conformal perfectly matched layer for electrically large curvilinear higher order finite element methods in electromagnetics, The. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/184021


Colorado State University

4. Kopacz, Justin. Optimal dictionary learning with application to underwater target detection from synthetic aperture sonar imagery.

Degree: MS(M.S.), Electrical and Computer Engineering, 2014, Colorado State University

 K-SVD is a relatively new method used to create a dictionary matrix that best ts a set of training data vectors formed with the intent… (more)

Subjects/Keywords: dictionary learning; underwater target detection; sparse coding; orthogonal matching pursuit; K-SVD

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APA (6th Edition):

Kopacz, J. (2014). Optimal dictionary learning with application to underwater target detection from synthetic aperture sonar imagery. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/82647

Chicago Manual of Style (16th Edition):

Kopacz, Justin. “Optimal dictionary learning with application to underwater target detection from synthetic aperture sonar imagery.” 2014. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/82647.

MLA Handbook (7th Edition):

Kopacz, Justin. “Optimal dictionary learning with application to underwater target detection from synthetic aperture sonar imagery.” 2014. Web. 17 Jan 2021.

Vancouver:

Kopacz J. Optimal dictionary learning with application to underwater target detection from synthetic aperture sonar imagery. [Internet] [Masters thesis]. Colorado State University; 2014. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/82647.

Council of Science Editors:

Kopacz J. Optimal dictionary learning with application to underwater target detection from synthetic aperture sonar imagery. [Masters Thesis]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/82647


Colorado State University

5. Yi, Zhangjing. Characterization of a photoluminescence-based fiber optic sensor system.

Degree: MS(M.S.), Electrical and Computer Engineering, 2011, Colorado State University

 Measuring multiple analyte concentrations is essential for a wide range of environmental applications, which are important for the pursuit of public safety and health. Target… (more)

Subjects/Keywords: biosensor; Stern-Volmer; photoluminescence; fiber optic; enzyme

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APA (6th Edition):

Yi, Z. (2011). Characterization of a photoluminescence-based fiber optic sensor system. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/70840

Chicago Manual of Style (16th Edition):

Yi, Zhangjing. “Characterization of a photoluminescence-based fiber optic sensor system.” 2011. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/70840.

MLA Handbook (7th Edition):

Yi, Zhangjing. “Characterization of a photoluminescence-based fiber optic sensor system.” 2011. Web. 17 Jan 2021.

Vancouver:

Yi Z. Characterization of a photoluminescence-based fiber optic sensor system. [Internet] [Masters thesis]. Colorado State University; 2011. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/70840.

Council of Science Editors:

Yi Z. Characterization of a photoluminescence-based fiber optic sensor system. [Masters Thesis]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/70840


Colorado State University

6. Dhanapala, Dulanjalie C. Anchor centric virtual coordinate systems in wireless sensor networks: from self-organization to network awareness.

Degree: PhD, Electrical and Computer Engineering, 2012, Colorado State University

 Future Wireless Sensor Networks (WSNs) will be collections of thousands to millions of sensor nodes, automated to self-organize, adapt, and collaborate to facilitate distributed monitoring… (more)

Subjects/Keywords: network awareness; phenomena discovery; routing; sensor networks; topology preserving maps; virtual coordinate systems

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APA (6th Edition):

Dhanapala, D. C. (2012). Anchor centric virtual coordinate systems in wireless sensor networks: from self-organization to network awareness. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/71554

Chicago Manual of Style (16th Edition):

Dhanapala, Dulanjalie C. “Anchor centric virtual coordinate systems in wireless sensor networks: from self-organization to network awareness.” 2012. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/71554.

MLA Handbook (7th Edition):

Dhanapala, Dulanjalie C. “Anchor centric virtual coordinate systems in wireless sensor networks: from self-organization to network awareness.” 2012. Web. 17 Jan 2021.

Vancouver:

Dhanapala DC. Anchor centric virtual coordinate systems in wireless sensor networks: from self-organization to network awareness. [Internet] [Doctoral dissertation]. Colorado State University; 2012. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/71554.

Council of Science Editors:

Dhanapala DC. Anchor centric virtual coordinate systems in wireless sensor networks: from self-organization to network awareness. [Doctoral Dissertation]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/71554


Colorado State University

7. Zhang, Wenshu. Cooperative sensing for target estimation and target localization.

Degree: PhD, Electrical and Computer Engineering, 2011, Colorado State University

 As a novel sensing scheme, cooperative sensing has drawn great interests in recent years. By utilizing the concept of "cooperation", which incorporates communications and information… (more)

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APA (6th Edition):

Zhang, W. (2011). Cooperative sensing for target estimation and target localization. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/70658

Chicago Manual of Style (16th Edition):

Zhang, Wenshu. “Cooperative sensing for target estimation and target localization.” 2011. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/70658.

MLA Handbook (7th Edition):

Zhang, Wenshu. “Cooperative sensing for target estimation and target localization.” 2011. Web. 17 Jan 2021.

Vancouver:

Zhang W. Cooperative sensing for target estimation and target localization. [Internet] [Doctoral dissertation]. Colorado State University; 2011. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/70658.

Council of Science Editors:

Zhang W. Cooperative sensing for target estimation and target localization. [Doctoral Dissertation]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/70658


Colorado State University

8. Kern, Tucker. Design of integrated on-chip impedance sensors.

Degree: MS(M.S.), Electrical and Computer Engineering, 2014, Colorado State University

 In this thesis two integrated sensor systems for measuring the impedance of a device under test (DUT) are presented. Both sensors have potential applications in… (more)

Subjects/Keywords: CMOS; sensor; impedance

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APA (6th Edition):

Kern, T. (2014). Design of integrated on-chip impedance sensors. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/83982

Chicago Manual of Style (16th Edition):

Kern, Tucker. “Design of integrated on-chip impedance sensors.” 2014. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/83982.

MLA Handbook (7th Edition):

Kern, Tucker. “Design of integrated on-chip impedance sensors.” 2014. Web. 17 Jan 2021.

Vancouver:

Kern T. Design of integrated on-chip impedance sensors. [Internet] [Masters thesis]. Colorado State University; 2014. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/83982.

Council of Science Editors:

Kern T. Design of integrated on-chip impedance sensors. [Masters Thesis]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/83982


Colorado State University

9. Yaremenko, Vladimir. Unattended acoustic sensor systems for noise monitoring in national parks.

Degree: MS(M.S.), Electrical and Computer Engineering, 2017, Colorado State University

 Detection and classification of transient acoustic signals is a difficult problem. The problem is often complicated by factors such as the variety of sources that… (more)

Subjects/Keywords: noise monitoring; statistical signal processing; embedded systems; transient signals; remote sensing

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APA (6th Edition):

Yaremenko, V. (2017). Unattended acoustic sensor systems for noise monitoring in national parks. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/181332

Chicago Manual of Style (16th Edition):

Yaremenko, Vladimir. “Unattended acoustic sensor systems for noise monitoring in national parks.” 2017. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/181332.

MLA Handbook (7th Edition):

Yaremenko, Vladimir. “Unattended acoustic sensor systems for noise monitoring in national parks.” 2017. Web. 17 Jan 2021.

Vancouver:

Yaremenko V. Unattended acoustic sensor systems for noise monitoring in national parks. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/181332.

Council of Science Editors:

Yaremenko V. Unattended acoustic sensor systems for noise monitoring in national parks. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181332


Colorado State University

10. Ahadi Dolatsara, Majid. Efficient multidimensional uncertainty quantification of high speed circuits using advanced polynomial chaos approaches.

Degree: MS(M.S.), Electrical and Computer Engineering, 2016, Colorado State University

 With the scaling of VLSI technology to sub-45 nm levels, uncertainty in the nanoscale manufacturing processes and operating conditions have been found to result in… (more)

Subjects/Keywords: high speed circuits; polynomial chaos; uncertainty quantification; linear regression; computer aided design; signal integrity

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APA (6th Edition):

Ahadi Dolatsara, M. (2016). Efficient multidimensional uncertainty quantification of high speed circuits using advanced polynomial chaos approaches. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/176722

Chicago Manual of Style (16th Edition):

Ahadi Dolatsara, Majid. “Efficient multidimensional uncertainty quantification of high speed circuits using advanced polynomial chaos approaches.” 2016. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/176722.

MLA Handbook (7th Edition):

Ahadi Dolatsara, Majid. “Efficient multidimensional uncertainty quantification of high speed circuits using advanced polynomial chaos approaches.” 2016. Web. 17 Jan 2021.

Vancouver:

Ahadi Dolatsara M. Efficient multidimensional uncertainty quantification of high speed circuits using advanced polynomial chaos approaches. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/176722.

Council of Science Editors:

Ahadi Dolatsara M. Efficient multidimensional uncertainty quantification of high speed circuits using advanced polynomial chaos approaches. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/176722


Colorado State University

11. Kleinkort, Cameron. Visual hull method for realistic 3D particle shape reconstruction based on high-resolution photographs of snowflakes in freefall from multiple views.

Degree: MS(M.S.), Electrical and Computer Engineering, 2016, Colorado State University

 Proposed and presented is a visual hull method and technique for reconstruction of realistic 3D shapes of snowflakes and other hydrometeors based on high-resolution photographs… (more)

Subjects/Keywords: computational electromagnetics; snowflakes; visual hull; radar; 3D reconstruction; snow microphysics

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APA (6th Edition):

Kleinkort, C. (2016). Visual hull method for realistic 3D particle shape reconstruction based on high-resolution photographs of snowflakes in freefall from multiple views. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/176670

Chicago Manual of Style (16th Edition):

Kleinkort, Cameron. “Visual hull method for realistic 3D particle shape reconstruction based on high-resolution photographs of snowflakes in freefall from multiple views.” 2016. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/176670.

MLA Handbook (7th Edition):

Kleinkort, Cameron. “Visual hull method for realistic 3D particle shape reconstruction based on high-resolution photographs of snowflakes in freefall from multiple views.” 2016. Web. 17 Jan 2021.

Vancouver:

Kleinkort C. Visual hull method for realistic 3D particle shape reconstruction based on high-resolution photographs of snowflakes in freefall from multiple views. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/176670.

Council of Science Editors:

Kleinkort C. Visual hull method for realistic 3D particle shape reconstruction based on high-resolution photographs of snowflakes in freefall from multiple views. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/176670


Colorado State University

12. Mellenthin, Michelle M. Active complex electrode (ACE1) electrical impedance tomography system & anatomically inspired modeling of electrode-skin contact impedance, The.

Degree: PhD, Bioengineering, 2016, Colorado State University

 Electrical Impedance Tomography (EIT) is a technique used to image the varying electrical properties of biological tissues or tissue conductivity and permittivity. There are many… (more)

Subjects/Keywords: EIT; impedance; tomography; electrical; contact; system

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APA (6th Edition):

Mellenthin, M. M. (2016). Active complex electrode (ACE1) electrical impedance tomography system & anatomically inspired modeling of electrode-skin contact impedance, The. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/176717

Chicago Manual of Style (16th Edition):

Mellenthin, Michelle M. “Active complex electrode (ACE1) electrical impedance tomography system & anatomically inspired modeling of electrode-skin contact impedance, The.” 2016. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/176717.

MLA Handbook (7th Edition):

Mellenthin, Michelle M. “Active complex electrode (ACE1) electrical impedance tomography system & anatomically inspired modeling of electrode-skin contact impedance, The.” 2016. Web. 17 Jan 2021.

Vancouver:

Mellenthin MM. Active complex electrode (ACE1) electrical impedance tomography system & anatomically inspired modeling of electrode-skin contact impedance, The. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/176717.

Council of Science Editors:

Mellenthin MM. Active complex electrode (ACE1) electrical impedance tomography system & anatomically inspired modeling of electrode-skin contact impedance, The. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/176717


Colorado State University

13. Wachowski, Neil. Characterization of multiple time-varying transient sources from multivariate data sequences.

Degree: PhD, Electrical and Computer Engineering, 2014, Colorado State University

 Characterization of multiple time-varying transient sources using sequential multivariate data is a broad and complex signal processing problem. In general, this process involves analyzing new… (more)

Subjects/Keywords: acoustical sources; transient detection; signal classification; multivariate analysis

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APA (6th Edition):

Wachowski, N. (2014). Characterization of multiple time-varying transient sources from multivariate data sequences. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/82575

Chicago Manual of Style (16th Edition):

Wachowski, Neil. “Characterization of multiple time-varying transient sources from multivariate data sequences.” 2014. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/82575.

MLA Handbook (7th Edition):

Wachowski, Neil. “Characterization of multiple time-varying transient sources from multivariate data sequences.” 2014. Web. 17 Jan 2021.

Vancouver:

Wachowski N. Characterization of multiple time-varying transient sources from multivariate data sequences. [Internet] [Doctoral dissertation]. Colorado State University; 2014. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/82575.

Council of Science Editors:

Wachowski N. Characterization of multiple time-varying transient sources from multivariate data sequences. [Doctoral Dissertation]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/82575


Colorado State University

14. Dahlke, Mark. Survey sampling with nonparametric methods: endogenous post-stratification and penalized instrumental variables.

Degree: PhD, Statistics, 2012, Colorado State University

 Two topics related to the common theme of nonparametric techniques in survey sampling are examined. The first topic explores the estimation of a finite population… (more)

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APA (6th Edition):

Dahlke, M. (2012). Survey sampling with nonparametric methods: endogenous post-stratification and penalized instrumental variables. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/67995

Chicago Manual of Style (16th Edition):

Dahlke, Mark. “Survey sampling with nonparametric methods: endogenous post-stratification and penalized instrumental variables.” 2012. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/67995.

MLA Handbook (7th Edition):

Dahlke, Mark. “Survey sampling with nonparametric methods: endogenous post-stratification and penalized instrumental variables.” 2012. Web. 17 Jan 2021.

Vancouver:

Dahlke M. Survey sampling with nonparametric methods: endogenous post-stratification and penalized instrumental variables. [Internet] [Doctoral dissertation]. Colorado State University; 2012. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/67995.

Council of Science Editors:

Dahlke M. Survey sampling with nonparametric methods: endogenous post-stratification and penalized instrumental variables. [Doctoral Dissertation]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/67995


Colorado State University

15. Tabaghi, Puoya. Mixture of factor models for joint dimensionality reduction and classification.

Degree: MS(M.S.), Electrical and Computer Engineering, 2016, Colorado State University

 In many areas such as machine learning, pattern recognition, information retrieval, and data mining one is interested in extracting a low-dimensional data that is truly… (more)

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APA (6th Edition):

Tabaghi, P. (2016). Mixture of factor models for joint dimensionality reduction and classification. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/176735

Chicago Manual of Style (16th Edition):

Tabaghi, Puoya. “Mixture of factor models for joint dimensionality reduction and classification.” 2016. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/176735.

MLA Handbook (7th Edition):

Tabaghi, Puoya. “Mixture of factor models for joint dimensionality reduction and classification.” 2016. Web. 17 Jan 2021.

Vancouver:

Tabaghi P. Mixture of factor models for joint dimensionality reduction and classification. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/176735.

Council of Science Editors:

Tabaghi P. Mixture of factor models for joint dimensionality reduction and classification. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/176735


Colorado State University

16. Futia, Gregory Louis. Spatial frequency modulated single detector imaging.

Degree: MS(M.S.), Electrical and Computer Engineering, 2011, Colorado State University

 This thesis presents images of absorbing and fluorescent objects captured by modulating a time varying spatial frequency to an illumination beam. The modulator produces a… (more)

Subjects/Keywords: spatial frequency; imaging; single detector

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APA (6th Edition):

Futia, G. L. (2011). Spatial frequency modulated single detector imaging. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/47273

Chicago Manual of Style (16th Edition):

Futia, Gregory Louis. “Spatial frequency modulated single detector imaging.” 2011. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/47273.

MLA Handbook (7th Edition):

Futia, Gregory Louis. “Spatial frequency modulated single detector imaging.” 2011. Web. 17 Jan 2021.

Vancouver:

Futia GL. Spatial frequency modulated single detector imaging. [Internet] [Masters thesis]. Colorado State University; 2011. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/47273.

Council of Science Editors:

Futia GL. Spatial frequency modulated single detector imaging. [Masters Thesis]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/47273


Colorado State University

17. Pakrooh, Pooria. Parameter estimation from compressed and sparse measurements.

Degree: PhD, Electrical and Computer Engineering, 2015, Colorado State University

 In this dissertation, the problem of parameter estimation from compressed and sparse noisy measurements is studied. First, fundamental estimation limits of the problem are analyzed.… (more)

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APA (6th Edition):

Pakrooh, P. (2015). Parameter estimation from compressed and sparse measurements. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167122

Chicago Manual of Style (16th Edition):

Pakrooh, Pooria. “Parameter estimation from compressed and sparse measurements.” 2015. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/167122.

MLA Handbook (7th Edition):

Pakrooh, Pooria. “Parameter estimation from compressed and sparse measurements.” 2015. Web. 17 Jan 2021.

Vancouver:

Pakrooh P. Parameter estimation from compressed and sparse measurements. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/167122.

Council of Science Editors:

Pakrooh P. Parameter estimation from compressed and sparse measurements. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167122


Colorado State University

18. Klausner, Nicholas Harold. Detection of multiple correlated time series and its application in synthetic aperture sonar imagery.

Degree: PhD, Electrical and Computer Engineering, 2014, Colorado State University

 Detecting the presence of a common but unknown signal among two or more data channels is a problem that finds its uses in many applications,… (more)

Subjects/Keywords: broadband coherence; generalized coherence; generalized likelihood ratio test; multichannel signal detection; synthetic aperture sonar

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APA (6th Edition):

Klausner, N. H. (2014). Detection of multiple correlated time series and its application in synthetic aperture sonar imagery. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/83747

Chicago Manual of Style (16th Edition):

Klausner, Nicholas Harold. “Detection of multiple correlated time series and its application in synthetic aperture sonar imagery.” 2014. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/83747.

MLA Handbook (7th Edition):

Klausner, Nicholas Harold. “Detection of multiple correlated time series and its application in synthetic aperture sonar imagery.” 2014. Web. 17 Jan 2021.

Vancouver:

Klausner NH. Detection of multiple correlated time series and its application in synthetic aperture sonar imagery. [Internet] [Doctoral dissertation]. Colorado State University; 2014. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/83747.

Council of Science Editors:

Klausner NH. Detection of multiple correlated time series and its application in synthetic aperture sonar imagery. [Doctoral Dissertation]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/83747


Colorado State University

19. Dinstel, Amanda. Wideband near-field array signal processing using the sparse representation framework.

Degree: MS(M.S.), Electrical and Computer Engineering, 2012, Colorado State University

 Recently, the field of sparse representation has attracted a great deal of attention from the perspective of target bearing (angle of arrival) estimation. This strategy… (more)

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APA (6th Edition):

Dinstel, A. (2012). Wideband near-field array signal processing using the sparse representation framework. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/71633

Chicago Manual of Style (16th Edition):

Dinstel, Amanda. “Wideband near-field array signal processing using the sparse representation framework.” 2012. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/71633.

MLA Handbook (7th Edition):

Dinstel, Amanda. “Wideband near-field array signal processing using the sparse representation framework.” 2012. Web. 17 Jan 2021.

Vancouver:

Dinstel A. Wideband near-field array signal processing using the sparse representation framework. [Internet] [Masters thesis]. Colorado State University; 2012. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/71633.

Council of Science Editors:

Dinstel A. Wideband near-field array signal processing using the sparse representation framework. [Masters Thesis]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/71633


Colorado State University

20. Zhang, Yang. Continuum limits of Markov chains with application to wireless network modeling and control.

Degree: PhD, Electrical and Computer Engineering, 2014, Colorado State University

 We investigate the continuum limits of a class of Markov chains. The investigation of such limits is motivated by the desire to model networks with… (more)

Subjects/Keywords: partial differential equations; network modeling; modeling; Markov processes

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APA (6th Edition):

Zhang, Y. (2014). Continuum limits of Markov chains with application to wireless network modeling and control. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/82486

Chicago Manual of Style (16th Edition):

Zhang, Yang. “Continuum limits of Markov chains with application to wireless network modeling and control.” 2014. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/82486.

MLA Handbook (7th Edition):

Zhang, Yang. “Continuum limits of Markov chains with application to wireless network modeling and control.” 2014. Web. 17 Jan 2021.

Vancouver:

Zhang Y. Continuum limits of Markov chains with application to wireless network modeling and control. [Internet] [Doctoral dissertation]. Colorado State University; 2014. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/82486.

Council of Science Editors:

Zhang Y. Continuum limits of Markov chains with application to wireless network modeling and control. [Doctoral Dissertation]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/82486


Colorado State University

21. Zahedi, Ramin. Compressive measurement design for detection and estimation of sparse signals.

Degree: PhD, Electrical and Computer Engineering, 2013, Colorado State University

 We study the problem of designing compressive measurement matrices for two sets of problems. In the first set, we consider the problem of adaptively designing… (more)

Subjects/Keywords: compressed sensing; dynamic programming; partially observable Markov decision processes; Q-learning; sparse signal detection; sparse signal estimation

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APA (6th Edition):

Zahedi, R. (2013). Compressive measurement design for detection and estimation of sparse signals. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/80995

Chicago Manual of Style (16th Edition):

Zahedi, Ramin. “Compressive measurement design for detection and estimation of sparse signals.” 2013. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/80995.

MLA Handbook (7th Edition):

Zahedi, Ramin. “Compressive measurement design for detection and estimation of sparse signals.” 2013. Web. 17 Jan 2021.

Vancouver:

Zahedi R. Compressive measurement design for detection and estimation of sparse signals. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/80995.

Council of Science Editors:

Zahedi R. Compressive measurement design for detection and estimation of sparse signals. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/80995


Colorado State University

22. Krakow, Lucas W. Spanning sensor resource management.

Degree: PhD, Electrical and Computer Engineering, 2018, Colorado State University

 This paper presents multiple applications of sensor resource management. The general focus entails two chapters on adaptive estimation of time-varying sparse signals and three chapters… (more)

Subjects/Keywords: decision control; Q-value approximations; unmanned aerial vehicles; partially observable Markov decision process; autonomous control; sparse signal recovery

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APA (6th Edition):

Krakow, L. W. (2018). Spanning sensor resource management. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193188

Chicago Manual of Style (16th Edition):

Krakow, Lucas W. “Spanning sensor resource management.” 2018. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/193188.

MLA Handbook (7th Edition):

Krakow, Lucas W. “Spanning sensor resource management.” 2018. Web. 17 Jan 2021.

Vancouver:

Krakow LW. Spanning sensor resource management. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/193188.

Council of Science Editors:

Krakow LW. Spanning sensor resource management. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/193188

23. Mosharraf Ghahfarokhi, Negar. Cooperative defense mechanisms for detection, identification and filtering of DDoS attacks.

Degree: PhD, Electrical and Computer Engineering, 2016, Colorado State University

To view the abstract, please see the full text of the document. Advisors/Committee Members: Jayasumana, Anura P. (advisor), Ray, Indrakshi (advisor), Pezeshki, Ali (committee member), Malaiya, Yashwant (committee member).

…40 3.4.3 Colorado State University Dataset… …traffic against DDoS attacks by analysis of network traffic collected from Colorado State… …State University [20] and University of Auckland dataset [6]. The… …University, Auckland University, and attack traffic from CAIDA. It is important to minimize the… …evaluated using the DARPA 1998 dataset [19] as well as extensive analysis over Colorado… 

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APA (6th Edition):

Mosharraf Ghahfarokhi, N. (2016). Cooperative defense mechanisms for detection, identification and filtering of DDoS attacks. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/176690

Chicago Manual of Style (16th Edition):

Mosharraf Ghahfarokhi, Negar. “Cooperative defense mechanisms for detection, identification and filtering of DDoS attacks.” 2016. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/176690.

MLA Handbook (7th Edition):

Mosharraf Ghahfarokhi, Negar. “Cooperative defense mechanisms for detection, identification and filtering of DDoS attacks.” 2016. Web. 17 Jan 2021.

Vancouver:

Mosharraf Ghahfarokhi N. Cooperative defense mechanisms for detection, identification and filtering of DDoS attacks. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/176690.

Council of Science Editors:

Mosharraf Ghahfarokhi N. Cooperative defense mechanisms for detection, identification and filtering of DDoS attacks. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/176690

24. Bhatnagar, Sakshi. Performance assessment of multi-walled carbon nanotube interconnects using advanced polynomial chaos schemes.

Degree: MS(M.S.), Electrical and Computer Engineering, 2019, Colorado State University

 With the continuous miniaturization in the latest VLSI technologies, manufacturing uncertainties at nanoscale processes and operations are unpredictable at the chip level, packaging level and… (more)

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APA (6th Edition):

Bhatnagar, S. (2019). Performance assessment of multi-walled carbon nanotube interconnects using advanced polynomial chaos schemes. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/195363

Chicago Manual of Style (16th Edition):

Bhatnagar, Sakshi. “Performance assessment of multi-walled carbon nanotube interconnects using advanced polynomial chaos schemes.” 2019. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/195363.

MLA Handbook (7th Edition):

Bhatnagar, Sakshi. “Performance assessment of multi-walled carbon nanotube interconnects using advanced polynomial chaos schemes.” 2019. Web. 17 Jan 2021.

Vancouver:

Bhatnagar S. Performance assessment of multi-walled carbon nanotube interconnects using advanced polynomial chaos schemes. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/195363.

Council of Science Editors:

Bhatnagar S. Performance assessment of multi-walled carbon nanotube interconnects using advanced polynomial chaos schemes. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195363

25. Tang, Yanru. Distributed wireless networking with an enhanced physical-link layer interface.

Degree: PhD, Electrical and Computer Engineering, 2019, Colorado State University

 This thesis focuses on the cross-layer design of physical and data link layers to support efficient distributed wireless networking. At the physical layer, distributed coding… (more)
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APA (6th Edition):

Tang, Y. (2019). Distributed wireless networking with an enhanced physical-link layer interface. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/195248

Chicago Manual of Style (16th Edition):

Tang, Yanru. “Distributed wireless networking with an enhanced physical-link layer interface.” 2019. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/195248.

MLA Handbook (7th Edition):

Tang, Yanru. “Distributed wireless networking with an enhanced physical-link layer interface.” 2019. Web. 17 Jan 2021.

Vancouver:

Tang Y. Distributed wireless networking with an enhanced physical-link layer interface. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/195248.

Council of Science Editors:

Tang Y. Distributed wireless networking with an enhanced physical-link layer interface. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195248

26. Hicks, Adam. Utilization of convolutional neural networks in the classification of snowflakes based on images by a multi-angle snowflake camera.

Degree: MS(M.S.), Electrical and Computer Engineering, 2019, Colorado State University

 Recent developments in machine learning are applied to in-situ data collected by a Multi-Angle Snowflake Camera (MASC), incorporating convolutional and residual networks in big data… (more)

Subjects/Keywords: machine learning; in-situ measurement

…common focal center distances of 10 cm. The system used at Colorado State University, Figure 2… …Colorado State University, Fort Collins. Feb. 2nd – April 30th 2018. 24. Murphy, K. P… …State University. The network architecture is the ResNet-50, which was chosen over AlexNet… …implemented using Matlab™ 2018b, with the Deep Learning and Machine Learning Toolboxes at Colorado… 

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APA (6th Edition):

Hicks, A. (2019). Utilization of convolutional neural networks in the classification of snowflakes based on images by a multi-angle snowflake camera. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/197252

Chicago Manual of Style (16th Edition):

Hicks, Adam. “Utilization of convolutional neural networks in the classification of snowflakes based on images by a multi-angle snowflake camera.” 2019. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/197252.

MLA Handbook (7th Edition):

Hicks, Adam. “Utilization of convolutional neural networks in the classification of snowflakes based on images by a multi-angle snowflake camera.” 2019. Web. 17 Jan 2021.

Vancouver:

Hicks A. Utilization of convolutional neural networks in the classification of snowflakes based on images by a multi-angle snowflake camera. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/197252.

Council of Science Editors:

Hicks A. Utilization of convolutional neural networks in the classification of snowflakes based on images by a multi-angle snowflake camera. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/197252

27. Chatterjee, Shibayan. Multi-attribute query resolution in structured peer-to-peer networks.

Degree: MS(M.S.), Electrical and Computer Engineering, 2016, Colorado State University

 Collaborative grid and cloud computing applications may be implemented by forming virtual clusters on demand. Formation of such clusters will require diverse resources with specific… (more)

Subjects/Keywords: caching; overlapped rings; range queries; multi-attribute resources; bloom-filters; peer-to-peer networks (P2P)

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APA (6th Edition):

Chatterjee, S. (2016). Multi-attribute query resolution in structured peer-to-peer networks. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/178845

Chicago Manual of Style (16th Edition):

Chatterjee, Shibayan. “Multi-attribute query resolution in structured peer-to-peer networks.” 2016. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/178845.

MLA Handbook (7th Edition):

Chatterjee, Shibayan. “Multi-attribute query resolution in structured peer-to-peer networks.” 2016. Web. 17 Jan 2021.

Vancouver:

Chatterjee S. Multi-attribute query resolution in structured peer-to-peer networks. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/178845.

Council of Science Editors:

Chatterjee S. Multi-attribute query resolution in structured peer-to-peer networks. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/178845

28. Krishna Prasad, Aditi. Accurate dimension reduction based polynomial chaos approach for uncertainty quantification of high speed networks.

Degree: PhD, Electrical and Computer Engineering, 2018, Colorado State University

 With the continued miniaturization of VLSI technology to sub-45 nm levels, uncertainty in nanoscale manufacturing processes and operating conditions have been found to translate into… (more)

Subjects/Keywords: dimension fusion; polynomial chaos; uncertainty quantification; epistemic; aleatory; sensitivity indices

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APA (6th Edition):

Krishna Prasad, A. (2018). Accurate dimension reduction based polynomial chaos approach for uncertainty quantification of high speed networks. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/189391

Chicago Manual of Style (16th Edition):

Krishna Prasad, Aditi. “Accurate dimension reduction based polynomial chaos approach for uncertainty quantification of high speed networks.” 2018. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/189391.

MLA Handbook (7th Edition):

Krishna Prasad, Aditi. “Accurate dimension reduction based polynomial chaos approach for uncertainty quantification of high speed networks.” 2018. Web. 17 Jan 2021.

Vancouver:

Krishna Prasad A. Accurate dimension reduction based polynomial chaos approach for uncertainty quantification of high speed networks. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/189391.

Council of Science Editors:

Krishna Prasad A. Accurate dimension reduction based polynomial chaos approach for uncertainty quantification of high speed networks. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/189391

29. Hosseini, Somayeh. Sparse representations in multi-kernel dictionaries for in-situ classification of underwater objects.

Degree: MS(M.S.), Electrical and Computer Engineering, 2017, Colorado State University

 The performance of the kernel-based pattern classification algorithms depends highly on the selection of the kernel function and its parameters. Consequently in the recent years… (more)
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APA (6th Edition):

Hosseini, S. (2017). Sparse representations in multi-kernel dictionaries for in-situ classification of underwater objects. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/181340

Chicago Manual of Style (16th Edition):

Hosseini, Somayeh. “Sparse representations in multi-kernel dictionaries for in-situ classification of underwater objects.” 2017. Masters Thesis, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/181340.

MLA Handbook (7th Edition):

Hosseini, Somayeh. “Sparse representations in multi-kernel dictionaries for in-situ classification of underwater objects.” 2017. Web. 17 Jan 2021.

Vancouver:

Hosseini S. Sparse representations in multi-kernel dictionaries for in-situ classification of underwater objects. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/181340.

Council of Science Editors:

Hosseini S. Sparse representations in multi-kernel dictionaries for in-situ classification of underwater objects. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181340

30. Liu, Yajing. Performance bounds for greedy strategies in submodular optimization problems.

Degree: PhD, Electrical and Computer Engineering, 2018, Colorado State University

To view the abstract, please see the full text of the document. Advisors/Committee Members: Chong, Edwin K. P. (advisor), Pezeshki, Ali (advisor), Luo, J. Rockey (committee member), Bates, Dan (committee member).

Subjects/Keywords: curvature; matroid; submodular; greedy; approximate dynamic programming; polymatroid

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APA (6th Edition):

Liu, Y. (2018). Performance bounds for greedy strategies in submodular optimization problems. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/191438

Chicago Manual of Style (16th Edition):

Liu, Yajing. “Performance bounds for greedy strategies in submodular optimization problems.” 2018. Doctoral Dissertation, Colorado State University. Accessed January 17, 2021. http://hdl.handle.net/10217/191438.

MLA Handbook (7th Edition):

Liu, Yajing. “Performance bounds for greedy strategies in submodular optimization problems.” 2018. Web. 17 Jan 2021.

Vancouver:

Liu Y. Performance bounds for greedy strategies in submodular optimization problems. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/10217/191438.

Council of Science Editors:

Liu Y. Performance bounds for greedy strategies in submodular optimization problems. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191438

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