Tamal Bose
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Professor of Electrical and Computer Engineering
Tamal Bose is a professor of electrical and computer engineering at the University of Arizona. He is well known for his research in signal classification for cognitive radios, channel equalization, adaptive filtering algorithms and nonlinear effects in digital filters. Bose is author of the 2004 textbook Digital Signal and Image Processing; co-author of Basic Simulation Models of Phase Tracking Devices Using MATLAB (2010); and co-author of Partial Update Least-Square Adaptive Filtering, published in 2014. Additionally, he is author or co-author of more than 60 journal papers and 100-plus conference papers.
Degrees
- PhD: electrical engineering, Southern Illinois University, 1988
Teaching Interests
Communications, digital signal processing, stochastic processes and image processing.
Research Interests
Adaptive filtering, spectrum sensing, cognitive radios and channel equalization.
Textbooks/Most Significant Publications
- Xie, Bei and Tamal Bose. Partial Update Least-Square Adaptive Filtering. Morgan & Claypool Publishers, 2014.
- Tranter, William, Ratchaneekorn Thamvichai, and Tamal Bose. Basic Simulation Models of Phase Tracking Devices Using MATLAB. Morgan & Claypool Publishers, 2011.
- Bose, Tamal. Digital Signal and Image Processing. John Wiley, 2004.