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You searched for +publisher:"Georgia Tech" +contributor:("Mersereau, Russell"). Showing records 1 – 18 of 18 total matches.

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Georgia Tech

1. Phan, John H. Biomarker discovery and clinical outcome prediction using knowledge based-bioinformatics.

Degree: PhD, Biomedical Engineering, 2009, Georgia Tech

 Advances in high-throughput genomic and proteomic technology have led to a growing interest in cancer biomarkers. These biomarkers can potentially improve the accuracy of cancer… (more)

Subjects/Keywords: Feature selection; Gene expression profiling; Biomarker identification; Clinical outcome prediction; Knowledge based; Bioinformatics; Biochemical markers; Gene expression

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APA (6th Edition):

Phan, J. H. (2009). Biomarker discovery and clinical outcome prediction using knowledge based-bioinformatics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33855

Chicago Manual of Style (16th Edition):

Phan, John H. “Biomarker discovery and clinical outcome prediction using knowledge based-bioinformatics.” 2009. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/33855.

MLA Handbook (7th Edition):

Phan, John H. “Biomarker discovery and clinical outcome prediction using knowledge based-bioinformatics.” 2009. Web. 17 Sep 2019.

Vancouver:

Phan JH. Biomarker discovery and clinical outcome prediction using knowledge based-bioinformatics. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/33855.

Council of Science Editors:

Phan JH. Biomarker discovery and clinical outcome prediction using knowledge based-bioinformatics. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/33855


Georgia Tech

2. Lettsome, Clyde Alphonso. Fixed-analysis adaptive-synthesis filter banks.

Degree: PhD, Electrical and Computer Engineering, 2009, Georgia Tech

 Subband/Wavelet filter analysis-synthesis filters are a major component in many compression algorithms. Such compression algorithms have been applied to images, voice, and video. These algorithms… (more)

Subjects/Keywords: Time-varying; Image compression; Wavelet; Subband; Interpolation; Electric filters, Digital; Image reconstruction; Decoders (Electronics); Algorithms

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APA (6th Edition):

Lettsome, C. A. (2009). Fixed-analysis adaptive-synthesis filter banks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/28143

Chicago Manual of Style (16th Edition):

Lettsome, Clyde Alphonso. “Fixed-analysis adaptive-synthesis filter banks.” 2009. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/28143.

MLA Handbook (7th Edition):

Lettsome, Clyde Alphonso. “Fixed-analysis adaptive-synthesis filter banks.” 2009. Web. 17 Sep 2019.

Vancouver:

Lettsome CA. Fixed-analysis adaptive-synthesis filter banks. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/28143.

Council of Science Editors:

Lettsome CA. Fixed-analysis adaptive-synthesis filter banks. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/28143


Georgia Tech

3. Asif, Muhammad Salman. Primal dual pursuit: a homotopy based algorithm for the Dantzig selector.

Degree: MS, Electrical and Computer Engineering, 2008, Georgia Tech

 Consider the following system model y = Ax + e, where x is n-dimensional sparse signal, y is the measurement vector in a much lower… (more)

Subjects/Keywords: Statistical estimation; Random matrices; Convex optimization; Compressed sensing; Sparse signal recovery; Linear programming; LASSO; Model selection; L1 minimization; Dantzig shrinkability; Mathematical optimization; Homotopy theory; Signal processing

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APA (6th Edition):

Asif, M. S. (2008). Primal dual pursuit: a homotopy based algorithm for the Dantzig selector. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24693

Chicago Manual of Style (16th Edition):

Asif, Muhammad Salman. “Primal dual pursuit: a homotopy based algorithm for the Dantzig selector.” 2008. Masters Thesis, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/24693.

MLA Handbook (7th Edition):

Asif, Muhammad Salman. “Primal dual pursuit: a homotopy based algorithm for the Dantzig selector.” 2008. Web. 17 Sep 2019.

Vancouver:

Asif MS. Primal dual pursuit: a homotopy based algorithm for the Dantzig selector. [Internet] [Masters thesis]. Georgia Tech; 2008. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/24693.

Council of Science Editors:

Asif MS. Primal dual pursuit: a homotopy based algorithm for the Dantzig selector. [Masters Thesis]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24693


Georgia Tech

4. Tian, Dihong. Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 Distributed three-dimensional (3D) graphics applications exhibit both resemblance and uniqueness in comparison with conventional streaming media applications. The resemblance relates to the large data volume… (more)

Subjects/Keywords: Multimedia; Multi-resolution compression; Source and channel coding; Error resilience; Rate-distortion optimization

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APA (6th Edition):

Tian, D. (2006). Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14081

Chicago Manual of Style (16th Edition):

Tian, Dihong. “Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability.” 2006. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/14081.

MLA Handbook (7th Edition):

Tian, Dihong. “Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability.” 2006. Web. 17 Sep 2019.

Vancouver:

Tian D. Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/14081.

Council of Science Editors:

Tian D. Streaming Three-Dimensional Graphics with Optimized Transmission and Rendering Scalability. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14081


Georgia Tech

5. Kim, Hyungjoon. Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 The primary objective of this thesis is to provide a low-complexity rate-distortion optimal coding mode selection method in digital video encoding. To achieve optimal compression… (more)

Subjects/Keywords: Mode selection; MPEG; Video coding

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APA (6th Edition):

Kim, H. (2007). Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14513

Chicago Manual of Style (16th Edition):

Kim, Hyungjoon. “Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding.” 2007. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/14513.

MLA Handbook (7th Edition):

Kim, Hyungjoon. “Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding.” 2007. Web. 17 Sep 2019.

Vancouver:

Kim H. Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/14513.

Council of Science Editors:

Kim H. Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/14513


Georgia Tech

6. Noorkami, Maneli. Secure and Robust Compressed-Domain Video Watermarking for H.264.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 The objective of this thesis is to present a robust watermarking algorithm for H.264 and to address challenges in compressed-domain video watermarking. To embed a… (more)

Subjects/Keywords: Watermark embedding; Watermark detection; H.264; Compressed-domain; Video; Digital watermarking

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APA (6th Edition):

Noorkami, M. (2007). Secure and Robust Compressed-Domain Video Watermarking for H.264. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16267

Chicago Manual of Style (16th Edition):

Noorkami, Maneli. “Secure and Robust Compressed-Domain Video Watermarking for H.264.” 2007. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/16267.

MLA Handbook (7th Edition):

Noorkami, Maneli. “Secure and Robust Compressed-Domain Video Watermarking for H.264.” 2007. Web. 17 Sep 2019.

Vancouver:

Noorkami M. Secure and Robust Compressed-Domain Video Watermarking for H.264. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/16267.

Council of Science Editors:

Noorkami M. Secure and Robust Compressed-Domain Video Watermarking for H.264. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16267


Georgia Tech

7. Lee, Teahyung. Algorithm-Based Efficient Approaches for Motion Estimation Systems.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 Algorithm-Based Efficient Approaches for Motion Estimation Systems Teahyung Lee 121 pages Directed by Dr. David V. Anderson This research addresses algorithms for efficient motion estimation… (more)

Subjects/Keywords: Least-squares; Optical flow; Recursive least-squares; Multi-resolution; Image sensor; Motion estimation; Video compression; Coding theory; Algorithms; Motion Measurement

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APA (6th Edition):

Lee, T. (2007). Algorithm-Based Efficient Approaches for Motion Estimation Systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/19783

Chicago Manual of Style (16th Edition):

Lee, Teahyung. “Algorithm-Based Efficient Approaches for Motion Estimation Systems.” 2007. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/19783.

MLA Handbook (7th Edition):

Lee, Teahyung. “Algorithm-Based Efficient Approaches for Motion Estimation Systems.” 2007. Web. 17 Sep 2019.

Vancouver:

Lee T. Algorithm-Based Efficient Approaches for Motion Estimation Systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/19783.

Council of Science Editors:

Lee T. Algorithm-Based Efficient Approaches for Motion Estimation Systems. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/19783


Georgia Tech

8. Rao, Sira. Elastic Algorithms for Region of Interest Video Compression, with Application to Mobile Telehealth.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 Video is the most demanding modality from the viewpoints of bandwidth, computational complexity, and resolution. Thus, there has been limited progress in the field of… (more)

Subjects/Keywords: Variable bitrate; Diagnostic losslessness; Telehealth; Non-parametric; Elastic; Region of interest; Video compression; Mobile communication systems; Multimedia systems; Telecommunication in medicine

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APA (6th Edition):

Rao, S. (2007). Elastic Algorithms for Region of Interest Video Compression, with Application to Mobile Telehealth. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/19881

Chicago Manual of Style (16th Edition):

Rao, Sira. “Elastic Algorithms for Region of Interest Video Compression, with Application to Mobile Telehealth.” 2007. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/19881.

MLA Handbook (7th Edition):

Rao, Sira. “Elastic Algorithms for Region of Interest Video Compression, with Application to Mobile Telehealth.” 2007. Web. 17 Sep 2019.

Vancouver:

Rao S. Elastic Algorithms for Region of Interest Video Compression, with Application to Mobile Telehealth. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/19881.

Council of Science Editors:

Rao S. Elastic Algorithms for Region of Interest Video Compression, with Application to Mobile Telehealth. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/19881


Georgia Tech

9. Candan, Cagatay. Minimum Distortion Data Hiding for Compressed Images.

Degree: PhD, Electrical and Computer Engineering, 2004, Georgia Tech

 We present a novel data hiding method for compressed images. The method is designed to minimize the quality loss associated with data embedding into a… (more)

Subjects/Keywords: Image processing; Data hiding; JPEG compression

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APA (6th Edition):

Candan, C. (2004). Minimum Distortion Data Hiding for Compressed Images. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/5140

Chicago Manual of Style (16th Edition):

Candan, Cagatay. “Minimum Distortion Data Hiding for Compressed Images.” 2004. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/5140.

MLA Handbook (7th Edition):

Candan, Cagatay. “Minimum Distortion Data Hiding for Compressed Images.” 2004. Web. 17 Sep 2019.

Vancouver:

Candan C. Minimum Distortion Data Hiding for Compressed Images. [Internet] [Doctoral dissertation]. Georgia Tech; 2004. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/5140.

Council of Science Editors:

Candan C. Minimum Distortion Data Hiding for Compressed Images. [Doctoral Dissertation]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/5140


Georgia Tech

10. Ibarria, Lorenzo. Geometric Prediction for Compression.

Degree: PhD, Computing, 2007, Georgia Tech

 This thesis proposes several new predictors for the compression of shapes, volumes and animations. To compress frames in triangle-mesh animations with fixed connectivity, we introduce… (more)

Subjects/Keywords: Isosurfaces; Geometry; Simplification; Compression; Prediction

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APA (6th Edition):

Ibarria, L. (2007). Geometric Prediction for Compression. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16162

Chicago Manual of Style (16th Edition):

Ibarria, Lorenzo. “Geometric Prediction for Compression.” 2007. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/16162.

MLA Handbook (7th Edition):

Ibarria, Lorenzo. “Geometric Prediction for Compression.” 2007. Web. 17 Sep 2019.

Vancouver:

Ibarria L. Geometric Prediction for Compression. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/16162.

Council of Science Editors:

Ibarria L. Geometric Prediction for Compression. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16162


Georgia Tech

11. Robie, David Lee. Error Correction and Concealment of Bock Based, Motion-Compensated Temporal Predition, Transform Coded Video.

Degree: PhD, Electrical and Computer Engineering, 2005, Georgia Tech

 Error Correction and Concealment of Block Based, Motion-Compensated Temporal Prediction, Transform Coded Video David L. Robie 133 Pages Directed by Dr. Russell M. Mersereau The… (more)

Subjects/Keywords: MPEG-2; Error correction; Error concealment; Rate distortion coding; MPEG2; MPEG; Steganography; Forward correction information; Joint source channel coding

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APA (6th Edition):

Robie, D. L. (2005). Error Correction and Concealment of Bock Based, Motion-Compensated Temporal Predition, Transform Coded Video. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7101

Chicago Manual of Style (16th Edition):

Robie, David Lee. “Error Correction and Concealment of Bock Based, Motion-Compensated Temporal Predition, Transform Coded Video.” 2005. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/7101.

MLA Handbook (7th Edition):

Robie, David Lee. “Error Correction and Concealment of Bock Based, Motion-Compensated Temporal Predition, Transform Coded Video.” 2005. Web. 17 Sep 2019.

Vancouver:

Robie DL. Error Correction and Concealment of Bock Based, Motion-Compensated Temporal Predition, Transform Coded Video. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/7101.

Council of Science Editors:

Robie DL. Error Correction and Concealment of Bock Based, Motion-Compensated Temporal Predition, Transform Coded Video. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7101


Georgia Tech

12. Abufadel, Amer Y. 4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 This dissertation presents a fully automatic segmentation algorithm for cardiac MR data. Some of the currently published methods are automatic, but they only work well… (more)

Subjects/Keywords: Shape priors; 4D segmentation; Level sets; Confidence labels; Imaging systems in medicine; Magnetic resonance imaging; Diagnostic imaging; Image processing

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APA (6th Edition):

Abufadel, A. Y. (2006). 4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14005

Chicago Manual of Style (16th Edition):

Abufadel, Amer Y. “4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors.” 2006. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/14005.

MLA Handbook (7th Edition):

Abufadel, Amer Y. “4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors.” 2006. Web. 17 Sep 2019.

Vancouver:

Abufadel AY. 4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/14005.

Council of Science Editors:

Abufadel AY. 4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14005


Georgia Tech

13. Begen, Ali C. Enhancing the Multimedia Experience in Emerging Networks.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 As multimedia processing and networking technologies, products and services evolve, the number of users communicating, collaborating and entertaining over the IP networks is growing rapidly.… (more)

Subjects/Keywords: Voice over IP; Multimedia networking; Video technologies; Transport protocols; Error control; Streaming

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APA (6th Edition):

Begen, A. C. (2006). Enhancing the Multimedia Experience in Emerging Networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14010

Chicago Manual of Style (16th Edition):

Begen, Ali C. “Enhancing the Multimedia Experience in Emerging Networks.” 2006. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/14010.

MLA Handbook (7th Edition):

Begen, Ali C. “Enhancing the Multimedia Experience in Emerging Networks.” 2006. Web. 17 Sep 2019.

Vancouver:

Begen AC. Enhancing the Multimedia Experience in Emerging Networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/14010.

Council of Science Editors:

Begen AC. Enhancing the Multimedia Experience in Emerging Networks. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14010


Georgia Tech

14. Li, Dalong. Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 In this thesis work, the background of atmospheric turbulence degradation in imaging was reviewed and two aspects are highlighted: blurring and geometric distortion. The turbulence… (more)

Subjects/Keywords: Atmospheric turbulence; Restoration; Kurtosis minimization; Phase correlation; Blur identification

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APA (6th Edition):

Li, D. (2006). Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14541

Chicago Manual of Style (16th Edition):

Li, Dalong. “Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation.” 2006. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/14541.

MLA Handbook (7th Edition):

Li, Dalong. “Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation.” 2006. Web. 17 Sep 2019.

Vancouver:

Li D. Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/14541.

Council of Science Editors:

Li D. Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14541


Georgia Tech

15. Bae, Soo Hyun. Information retrieval via universal source coding.

Degree: PhD, Electrical and Computer Engineering, 2008, Georgia Tech

 This dissertation explores the intersection of information retrieval and universal source coding techniques and studies an optimal multidimensional source representation from an information theoretic point… (more)

Subjects/Keywords: Image retrieval; Image compression; Information retrieval; Machine learning; Universal source coding; Data compression; Incremental parsing; Pattern recognition; Natural language processing; Pattern recognition systems; Pattern perception; Computer science; Information storage and retrieval systems; Multidimensional databases

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APA (6th Edition):

Bae, S. H. (2008). Information retrieval via universal source coding. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/26573

Chicago Manual of Style (16th Edition):

Bae, Soo Hyun. “Information retrieval via universal source coding.” 2008. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/26573.

MLA Handbook (7th Edition):

Bae, Soo Hyun. “Information retrieval via universal source coding.” 2008. Web. 17 Sep 2019.

Vancouver:

Bae SH. Information retrieval via universal source coding. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/26573.

Council of Science Editors:

Bae SH. Information retrieval via universal source coding. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/26573


Georgia Tech

16. Glotzbach, John William. A Color Filter Array Interpolation Method Based on Sampling Theory.

Degree: PhD, Electrical and Computer Engineering, 2004, Georgia Tech

 Digital cameras use a single image sensor array with a color filter array (CFA) to measure a color image. Instead of measuring a red, green,… (more)

Subjects/Keywords: Sampling; Aliasing; Digital signal processing; Color image processing; Color filter array; Image interpolation

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APA (6th Edition):

Glotzbach, J. W. (2004). A Color Filter Array Interpolation Method Based on Sampling Theory. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/4785

Chicago Manual of Style (16th Edition):

Glotzbach, John William. “A Color Filter Array Interpolation Method Based on Sampling Theory.” 2004. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/4785.

MLA Handbook (7th Edition):

Glotzbach, John William. “A Color Filter Array Interpolation Method Based on Sampling Theory.” 2004. Web. 17 Sep 2019.

Vancouver:

Glotzbach JW. A Color Filter Array Interpolation Method Based on Sampling Theory. [Internet] [Doctoral dissertation]. Georgia Tech; 2004. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/4785.

Council of Science Editors:

Glotzbach JW. A Color Filter Array Interpolation Method Based on Sampling Theory. [Doctoral Dissertation]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/4785


Georgia Tech

17. Bahceci, Israfil. Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection.

Degree: PhD, Electrical and Computer Engineering, 2005, Georgia Tech

 This dissertation studies a number of important issues that arise in multiple-input multiple-out wireless systems. First, wireless systems equipped with multiple-transmit multiple-receive antennas are considered… (more)

Subjects/Keywords: MIMO systems; Multiple description codes; Performance bounds; Antenna selection; Relay channel; Turbo codes; Distributed detection; Wireless networks; Sensor networks

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APA (6th Edition):

Bahceci, I. (2005). Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7480

Chicago Manual of Style (16th Edition):

Bahceci, Israfil. “Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection.” 2005. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/7480.

MLA Handbook (7th Edition):

Bahceci, Israfil. “Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection.” 2005. Web. 17 Sep 2019.

Vancouver:

Bahceci I. Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/7480.

Council of Science Editors:

Bahceci I. Multiple-Input Multiple-Output Wireless Systems: Coding, Distributed Detection and Antenna Selection. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7480


Georgia Tech

18. Farrell, Michael D., Jr. Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery.

Degree: PhD, Electrical and Computer Engineering, 2005, Georgia Tech

 Whenever a new sensor or system comes online, engineers and analysts responsible for processing the measured data turn first to methods that are tried and… (more)

Subjects/Keywords: Covariance contamination; Dimension reduction; Hyperspectral imaging; Image processing Digital techniques; Land mines; Remote sensing; Target detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Farrell, Michael D., J. (2005). Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7505

Chicago Manual of Style (16th Edition):

Farrell, Michael D., Jr. “Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery.” 2005. Doctoral Dissertation, Georgia Tech. Accessed September 17, 2019. http://hdl.handle.net/1853/7505.

MLA Handbook (7th Edition):

Farrell, Michael D., Jr. “Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery.” 2005. Web. 17 Sep 2019.

Vancouver:

Farrell, Michael D. J. Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/1853/7505.

Council of Science Editors:

Farrell, Michael D. J. Analysis of Modeling, Training, and Dimension Reduction Approaches for Target Detection in Hyperspectral Imagery. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7505

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