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Skip to Search Results- 2Arefi, Afshin
- 2Bagheri, Pooya
- 2Banerjee, Bitan
- 2Barczyk, Martin
- 2Barth, Stuart E
- 2Behnam Dehkordi, Mohammad
- 19Machine Learning
- 16Glancing angle deposition
- 15Wireless communication systems.
- 13Nanotechnology
- 12FPGA
- 12MIMO
- 20Musilek, Petr (Electrical and Computer Engineering)
- 20Tellambura, Chintha (Electrical and Computer Engineering)
- 19Ardakani, Masoud (Electrical and Computer Engineering)
- 19Chen, Tongwen (Electrical and Computer Engineering)
- 19Li, Yunwei (Electrical and Computer Engineering)
- 19Reformat, Marek (Electrical and Computer Engineering)
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Spring 2014
Modern signal processing algorithms need to work in complicated and variable noise environments. The generalized Gaussian distribution (GGD) can be used to accurately model noise in signal processing for telecommunication and other fields because the GGD covers a wide range of distributions....
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Parameter Estimation in Low-Rank Models from Small Sample Size and Undersampled Data: DOA and Spectrum Estimation
DownloadSpring 2015
In estimation theory, a set of parameters are estimated from a finite number of measurements (samples). In general, the quality of estimation degrades as the number of samples is reduced. In this thesis, the problem of parameter estimation in low-rank models from a small number of samples is...
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Fall 2015
The ever increasing demands for mobile network access have resulted a significant growth in bandwidth usage. By improving the system spectral efficiency, multi-way relay networks (MWRNs) provide promising approaches to address this challenge. In this thesis, we propose a novel linear beamforming...
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Fall 2020
The ever-increasing demand for wireless communication networks has led an evolution in this technology. The next generation which is responsible for significantly higher data rates, energy efficiency and coverage is the 5th Generation (5G). 5G has introduced many infrastructural changes, hardware...
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Fall 2014
Passively modelocked diode-pumped solid-state lasers based on semiconductor saturable absorber mirrors and Kerr lens mode-locking which have demonstrated good performance in terms of pulse duration, peak power, pulse repetition rates and maintainability. Yb3+:CaF2 has been recognized as a good...
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Fall 2023
In recent years, deep neural networks (DNNs) have revolutionized the field of artificial intelligence (AI), leading to breakthroughs in areas such as computer vision, natural language processing, and robotics. Despite their superior performance, studies have demonstrated that they are susceptible...
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PDE Backstepping Boundary Observer Design with Application to Thermal Management of PCR Process in Lab-on-a-Chip Devices
DownloadFall 2013
In the past two decades, the idea of Lab-on-a-Chip (LOC) devices has received a growing attention from researchers. A Lab-on-a-Chip device can be thought of as a miniaturized biological microchip that integrates several functionalities such as sample pre-treatment, sample transportation, mixing,...