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You searched for +publisher:"Rutgers University" +contributor:("Najafizadeh, Laleh"). Showing records 1 – 15 of 15 total matches.

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Rutgers University

1. Wang, Yunqi. EEG-based signatures of individuality with application to biometric identification.

Degree: MS, Electrical and Computer Engineering, 2016, Rutgers University

 The use of brain activity as physiological basis for biometric systems has been receiving increased attention in recent years, as it can offer attractive properties… (more)

Subjects/Keywords: Biometric identification; Electroencephalography

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APA (6th Edition):

Wang, Y. (2016). EEG-based signatures of individuality with application to biometric identification. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/50247/

Chicago Manual of Style (16th Edition):

Wang, Yunqi. “EEG-based signatures of individuality with application to biometric identification.” 2016. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/50247/.

MLA Handbook (7th Edition):

Wang, Yunqi. “EEG-based signatures of individuality with application to biometric identification.” 2016. Web. 29 Sep 2020.

Vancouver:

Wang Y. EEG-based signatures of individuality with application to biometric identification. [Internet] [Masters thesis]. Rutgers University; 2016. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50247/.

Council of Science Editors:

Wang Y. EEG-based signatures of individuality with application to biometric identification. [Masters Thesis]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50247/


Rutgers University

2. Zhu, Li. Computational methods for predicting behavior from neuroimaging data.

Degree: PhD, Electrical and Computer Engineering, 2018, Rutgers University

 One of the major goals in neuroscience is to understand the relationship between the brain function and the behavior. Inferring about the behavior, intent, or… (more)

Subjects/Keywords: Brain – Research; Human behavior

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APA (6th Edition):

Zhu, L. (2018). Computational methods for predicting behavior from neuroimaging data. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/59295/

Chicago Manual of Style (16th Edition):

Zhu, Li. “Computational methods for predicting behavior from neuroimaging data.” 2018. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/59295/.

MLA Handbook (7th Edition):

Zhu, Li. “Computational methods for predicting behavior from neuroimaging data.” 2018. Web. 29 Sep 2020.

Vancouver:

Zhu L. Computational methods for predicting behavior from neuroimaging data. [Internet] [Doctoral dissertation]. Rutgers University; 2018. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/59295/.

Council of Science Editors:

Zhu L. Computational methods for predicting behavior from neuroimaging data. [Doctoral Dissertation]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/59295/


Rutgers University

3. Ragothaman, Anjanibhargavi, 1986-. Using pilot-jobs for developing eThread, a meta-threading pipeline.

Degree: MS, Electrical and Computer Engineering, 2014, Rutgers University

 The genome revolution has produced vast amount of sequence information, but the functional annotation of most of the gene products are yet to be explored… (more)

Subjects/Keywords: Algorithms; High performance computing; Proteins – Structure

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APA (6th Edition):

Ragothaman, Anjanibhargavi, 1. (2014). Using pilot-jobs for developing eThread, a meta-threading pipeline. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/45415/

Chicago Manual of Style (16th Edition):

Ragothaman, Anjanibhargavi, 1986-. “Using pilot-jobs for developing eThread, a meta-threading pipeline.” 2014. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/45415/.

MLA Handbook (7th Edition):

Ragothaman, Anjanibhargavi, 1986-. “Using pilot-jobs for developing eThread, a meta-threading pipeline.” 2014. Web. 29 Sep 2020.

Vancouver:

Ragothaman, Anjanibhargavi 1. Using pilot-jobs for developing eThread, a meta-threading pipeline. [Internet] [Masters thesis]. Rutgers University; 2014. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45415/.

Council of Science Editors:

Ragothaman, Anjanibhargavi 1. Using pilot-jobs for developing eThread, a meta-threading pipeline. [Masters Thesis]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45415/


Rutgers University

4. Cao, Xinnan, 1994-. Detrending and denoising of impedance cytometry data.

Degree: MS, Electrical and Computer Engineering, 2015, Rutgers University

 Bioelectrical signals such as electrocardiogram (ECG) and flow cytometry signals are often affected by both low-frequency and high frequency perturbations during data acquisition. It is… (more)

Subjects/Keywords: Cytometry; Electrocardiography

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APA (6th Edition):

Cao, Xinnan, 1. (2015). Detrending and denoising of impedance cytometry data. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/48410/

Chicago Manual of Style (16th Edition):

Cao, Xinnan, 1994-. “Detrending and denoising of impedance cytometry data.” 2015. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/48410/.

MLA Handbook (7th Edition):

Cao, Xinnan, 1994-. “Detrending and denoising of impedance cytometry data.” 2015. Web. 29 Sep 2020.

Vancouver:

Cao, Xinnan 1. Detrending and denoising of impedance cytometry data. [Internet] [Masters thesis]. Rutgers University; 2015. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48410/.

Council of Science Editors:

Cao, Xinnan 1. Detrending and denoising of impedance cytometry data. [Masters Thesis]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48410/


Rutgers University

5. Kong, Fanpeng, 1992-. Coil misalignment compensation techniques for wireless power transfer links in biomedical implants.

Degree: MS, Electrical and Computer Engineering, 2015, Rutgers University

 Wireless power Transfer (WPT) technique, based on inductive links, has been admit- ted as a promising solution for powering biomedical implants. Ensuring a stable power… (more)

Subjects/Keywords: Biomedical materials; Electric power transmission; Medical electronics

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APA (6th Edition):

Kong, Fanpeng, 1. (2015). Coil misalignment compensation techniques for wireless power transfer links in biomedical implants. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/48468/

Chicago Manual of Style (16th Edition):

Kong, Fanpeng, 1992-. “Coil misalignment compensation techniques for wireless power transfer links in biomedical implants.” 2015. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/48468/.

MLA Handbook (7th Edition):

Kong, Fanpeng, 1992-. “Coil misalignment compensation techniques for wireless power transfer links in biomedical implants.” 2015. Web. 29 Sep 2020.

Vancouver:

Kong, Fanpeng 1. Coil misalignment compensation techniques for wireless power transfer links in biomedical implants. [Internet] [Masters thesis]. Rutgers University; 2015. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48468/.

Council of Science Editors:

Kong, Fanpeng 1. Coil misalignment compensation techniques for wireless power transfer links in biomedical implants. [Masters Thesis]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48468/


Rutgers University

6. Peifer, Maria. Decoding brain states using functional brain imaging techniques.

Degree: MS, Electrical and Computer Engineering, 2015, Rutgers University

 Non-invasive neuroimaging techniques provide safe methods for investigating the func- tionality of the brain. Functional near infrared spectroscopy (fNIRS) is a non invasive brain imaging… (more)

Subjects/Keywords: Machine learning; Brain – Imaging

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APA (6th Edition):

Peifer, M. (2015). Decoding brain states using functional brain imaging techniques. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/48621/

Chicago Manual of Style (16th Edition):

Peifer, Maria. “Decoding brain states using functional brain imaging techniques.” 2015. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/48621/.

MLA Handbook (7th Edition):

Peifer, Maria. “Decoding brain states using functional brain imaging techniques.” 2015. Web. 29 Sep 2020.

Vancouver:

Peifer M. Decoding brain states using functional brain imaging techniques. [Internet] [Masters thesis]. Rutgers University; 2015. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48621/.

Council of Science Editors:

Peifer M. Decoding brain states using functional brain imaging techniques. [Masters Thesis]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48621/


Rutgers University

7. Rajasekaran, Ajoykumar, 1992-. Mapping information leaks in the Android OS.

Degree: MS, Electrical and Computer Engineering, 2016, Rutgers University

 Android OS enforces security and privacy by means of sandboxing to isolate the execution of one application from another and by means of system permissions… (more)

Subjects/Keywords: Android (Electronic resource); Mobile computing – Security measures

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APA (6th Edition):

Rajasekaran, Ajoykumar, 1. (2016). Mapping information leaks in the Android OS. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/51594/

Chicago Manual of Style (16th Edition):

Rajasekaran, Ajoykumar, 1992-. “Mapping information leaks in the Android OS.” 2016. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/51594/.

MLA Handbook (7th Edition):

Rajasekaran, Ajoykumar, 1992-. “Mapping information leaks in the Android OS.” 2016. Web. 29 Sep 2020.

Vancouver:

Rajasekaran, Ajoykumar 1. Mapping information leaks in the Android OS. [Internet] [Masters thesis]. Rutgers University; 2016. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/51594/.

Council of Science Editors:

Rajasekaran, Ajoykumar 1. Mapping information leaks in the Android OS. [Masters Thesis]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/51594/


Rutgers University

8. Chigirev, Ilya. A 26 microwatt, two-stage VCO and mixer for direct DPSK conversion in MedRadio.

Degree: MS, Electrical and Computer Engineering, 2013, Rutgers University

 This thesis proposes a design for a low-power downconverter and demodulator, formed by a voltage controlled oscillator and mixer to create a Vance demodulator. This… (more)

Subjects/Keywords: Voltage-controlled oscillators; Low power radio

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APA (6th Edition):

Chigirev, I. (2013). A 26 microwatt, two-stage VCO and mixer for direct DPSK conversion in MedRadio. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/41741/

Chicago Manual of Style (16th Edition):

Chigirev, Ilya. “A 26 microwatt, two-stage VCO and mixer for direct DPSK conversion in MedRadio.” 2013. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/41741/.

MLA Handbook (7th Edition):

Chigirev, Ilya. “A 26 microwatt, two-stage VCO and mixer for direct DPSK conversion in MedRadio.” 2013. Web. 29 Sep 2020.

Vancouver:

Chigirev I. A 26 microwatt, two-stage VCO and mixer for direct DPSK conversion in MedRadio. [Internet] [Masters thesis]. Rutgers University; 2013. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41741/.

Council of Science Editors:

Chigirev I. A 26 microwatt, two-stage VCO and mixer for direct DPSK conversion in MedRadio. [Masters Thesis]. Rutgers University; 2013. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41741/


Rutgers University

9. Yang, Anthony, 1994-. On the feasibility of using connectivity measures for decoding brain states.

Degree: MS, Electrical and Computer Engineering, 2018, Rutgers University

 Optical brain imaging using functional near infrared spectroscopy (fNIRS) offers a non-invasive imaging tool for monitoring brain activity. fNIRS is a safe imaging technique offering… (more)

Subjects/Keywords: Near infrared spectroscopy; Brain – Imaging

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APA (6th Edition):

Yang, Anthony, 1. (2018). On the feasibility of using connectivity measures for decoding brain states. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/56155/

Chicago Manual of Style (16th Edition):

Yang, Anthony, 1994-. “On the feasibility of using connectivity measures for decoding brain states.” 2018. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/56155/.

MLA Handbook (7th Edition):

Yang, Anthony, 1994-. “On the feasibility of using connectivity measures for decoding brain states.” 2018. Web. 29 Sep 2020.

Vancouver:

Yang, Anthony 1. On the feasibility of using connectivity measures for decoding brain states. [Internet] [Masters thesis]. Rutgers University; 2018. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/56155/.

Council of Science Editors:

Yang, Anthony 1. On the feasibility of using connectivity measures for decoding brain states. [Masters Thesis]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/56155/


Rutgers University

10. McGarvey, John Joseph, 1960-. Reduced order modeling, time scale analysis, and simulation of power electronic systems.

Degree: PhD, Electrical and Computer Engineering, 2016, Rutgers University

Switch mode operation has long been employed in power electronic systems due to the need for high efficiency. In recent years, this mode of operation… (more)

Subjects/Keywords: Computer simulation; Electric power systems – Simulation

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APA (6th Edition):

McGarvey, John Joseph, 1. (2016). Reduced order modeling, time scale analysis, and simulation of power electronic systems. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/50048/

Chicago Manual of Style (16th Edition):

McGarvey, John Joseph, 1960-. “Reduced order modeling, time scale analysis, and simulation of power electronic systems.” 2016. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/50048/.

MLA Handbook (7th Edition):

McGarvey, John Joseph, 1960-. “Reduced order modeling, time scale analysis, and simulation of power electronic systems.” 2016. Web. 29 Sep 2020.

Vancouver:

McGarvey, John Joseph 1. Reduced order modeling, time scale analysis, and simulation of power electronic systems. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50048/.

Council of Science Editors:

McGarvey, John Joseph 1. Reduced order modeling, time scale analysis, and simulation of power electronic systems. [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50048/


Rutgers University

11. Huang, Yi, 1985-. Wireless electrical stimulators for nanofibers with application in next generation muscle prosthesis.

Degree: PhD, Electrical and Computer Engineering, 2017, Rutgers University

 Functional loss and impairment of skeletal muscle could occur as a result of a diverse range of causes including trauma, aging, and diseases such as… (more)

Subjects/Keywords: Prosthesis; Nanofibers

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APA (6th Edition):

Huang, Yi, 1. (2017). Wireless electrical stimulators for nanofibers with application in next generation muscle prosthesis. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/55276/

Chicago Manual of Style (16th Edition):

Huang, Yi, 1985-. “Wireless electrical stimulators for nanofibers with application in next generation muscle prosthesis.” 2017. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/55276/.

MLA Handbook (7th Edition):

Huang, Yi, 1985-. “Wireless electrical stimulators for nanofibers with application in next generation muscle prosthesis.” 2017. Web. 29 Sep 2020.

Vancouver:

Huang, Yi 1. Wireless electrical stimulators for nanofibers with application in next generation muscle prosthesis. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55276/.

Council of Science Editors:

Huang, Yi 1. Wireless electrical stimulators for nanofibers with application in next generation muscle prosthesis. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55276/


Rutgers University

12. Al Hilli, Ahmed, 1980-. Compressed sensing: weighted approach to compressed sensing with applications to EEG source localization and MIMO radar DOA estimation.

Degree: PhD, Compressed sampling, 2019, Rutgers University

 Sparse signals can be recovered based on fewer samples than suggested by the Nyquist Theorem. Those samples are obtained during a process referred to as… (more)

Subjects/Keywords: Electrical and Computer Engineering; Signal processing; Electroencephalography; Radar

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APA (6th Edition):

Al Hilli, Ahmed, 1. (2019). Compressed sensing: weighted approach to compressed sensing with applications to EEG source localization and MIMO radar DOA estimation. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/60580/

Chicago Manual of Style (16th Edition):

Al Hilli, Ahmed, 1980-. “Compressed sensing: weighted approach to compressed sensing with applications to EEG source localization and MIMO radar DOA estimation.” 2019. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/60580/.

MLA Handbook (7th Edition):

Al Hilli, Ahmed, 1980-. “Compressed sensing: weighted approach to compressed sensing with applications to EEG source localization and MIMO radar DOA estimation.” 2019. Web. 29 Sep 2020.

Vancouver:

Al Hilli, Ahmed 1. Compressed sensing: weighted approach to compressed sensing with applications to EEG source localization and MIMO radar DOA estimation. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60580/.

Council of Science Editors:

Al Hilli, Ahmed 1. Compressed sensing: weighted approach to compressed sensing with applications to EEG source localization and MIMO radar DOA estimation. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60580/


Rutgers University

13. Zhang, He, 1992-. Learning-based methods for single image restoration and translation.

Degree: PhD, Electrical and Computer Engineering, 2019, Rutgers University

 In many applications such as drone-based video surveillance, self driving cars and recognition under night-time and low-light conditions, the captured images and videos contain undesirable… (more)

Subjects/Keywords: Computer vision

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APA (6th Edition):

Zhang, He, 1. (2019). Learning-based methods for single image restoration and translation. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/60116/

Chicago Manual of Style (16th Edition):

Zhang, He, 1992-. “Learning-based methods for single image restoration and translation.” 2019. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/60116/.

MLA Handbook (7th Edition):

Zhang, He, 1992-. “Learning-based methods for single image restoration and translation.” 2019. Web. 29 Sep 2020.

Vancouver:

Zhang, He 1. Learning-based methods for single image restoration and translation. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60116/.

Council of Science Editors:

Zhang, He 1. Learning-based methods for single image restoration and translation. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60116/

14. Mohammad, Nabil, 1993-. Load voltage regulation via transmitter power supply control for wirelessly powered biomedical implants.

Degree: MS, Electrical and Computer Engineering, 2017, Rutgers University

 Wireless power transfer (WPT) via inductive links has been an attractive solution for powering biomedical implants. Due to the nature of the human body (e.g.… (more)

Subjects/Keywords: Biomedical engineering; Biomedical materials; Implants, Artificial

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APA (6th Edition):

Mohammad, Nabil, 1. (2017). Load voltage regulation via transmitter power supply control for wirelessly powered biomedical implants. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/52237/

Chicago Manual of Style (16th Edition):

Mohammad, Nabil, 1993-. “Load voltage regulation via transmitter power supply control for wirelessly powered biomedical implants.” 2017. Masters Thesis, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/52237/.

MLA Handbook (7th Edition):

Mohammad, Nabil, 1993-. “Load voltage regulation via transmitter power supply control for wirelessly powered biomedical implants.” 2017. Web. 29 Sep 2020.

Vancouver:

Mohammad, Nabil 1. Load voltage regulation via transmitter power supply control for wirelessly powered biomedical implants. [Internet] [Masters thesis]. Rutgers University; 2017. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/52237/.

Council of Science Editors:

Mohammad, Nabil 1. Load voltage regulation via transmitter power supply control for wirelessly powered biomedical implants. [Masters Thesis]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/52237/

15. Wang, Shaogang. Multidimensional radar signal processing based on Sparse Fourier Transforms.

Degree: PhD, Sparse Fourier Transform, 2019, Rutgers University

 The conventional radar signal processing typically employs the Fast Fourier Transform (FFT) to detect targets and identify their parameters. The sample and computational complexity of… (more)

Subjects/Keywords: Electrical and Computer Engineering; Radar

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Wang, S. (2019). Multidimensional radar signal processing based on Sparse Fourier Transforms. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/60985/

Chicago Manual of Style (16th Edition):

Wang, Shaogang. “Multidimensional radar signal processing based on Sparse Fourier Transforms.” 2019. Doctoral Dissertation, Rutgers University. Accessed September 29, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/60985/.

MLA Handbook (7th Edition):

Wang, Shaogang. “Multidimensional radar signal processing based on Sparse Fourier Transforms.” 2019. Web. 29 Sep 2020.

Vancouver:

Wang S. Multidimensional radar signal processing based on Sparse Fourier Transforms. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2020 Sep 29]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60985/.

Council of Science Editors:

Wang S. Multidimensional radar signal processing based on Sparse Fourier Transforms. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/60985/

.