Digital signal processing (DSP) is used in a wide range of applications including voice processing, image processing, digital communications, the transfer of data over the internet, and image and data compression. Engineers who develop DSP applications today, and in the future, need to understand the fundamental theories and mathematical algorithms, and will need to address implementation issues like mapping algorithms to hardware, computational efficiency, and the effects of finite precision arithmetic. Alexander covers all these topics at a level appropriate for senior undergraduates or first year graduate students, making this text the ideal bridge between the theory and analytical procedures that form the basis for modern DSP, and practical implementation.
- Covers fundamental theories and analytical procedures that form the basis of modern DSP
- Shows practical implementation of DSP in software and hardware
- Includes Matlab for design and implementation of signal processing algorithms and related discrete time systems
- Bridges the gap between reference texts and the knowledge needed to implement DSP applications in software or hardware
Winser E. Alexander is a Professor of Electrical and Computer Engineering at North Carolina State University. He served as Interim Provost and Vice-Chancellor for Academic Affairs (2011-2013) and as Interim Dean of the College of Engineering at North Carolina Agricultural and Technical (A & T) State University (2009-2011) while of leave of absence from North Carolina State University. He received the B. S. Degree in Electrical Engineering from North Carolina A & T State University and he received the M. S. Degree in Engineering and the Ph. D. in Electrical Engineering from the University of New Mexico. He served as an officer in the U. S. Air Force (highest rank of captain), he was a Member of Technical Staff at Sandia Laboratories, Albuquerque, NM and he was previously Chair of the Department of Electrical Engineering at North Carolina A & T State University. His research interests include digital signal processing (DSP), genomic signal processing, parallel algorithms and special purpose multiprocessor architectures for DSP. He has taught courses in DSP, DSP architecture and fundamentals of logic systems design at North Carolina State University since 1982.
Dr. Alexander is a senior life member of IEEE, a member of Sigma Xi and he is registered as a professional engineer in North Carolina.
Cranos M.Williams is an Associate Professor of Electrical and Computer Engineering at North Carolina State University. He received the B. S. Degree in Electrical Engineering from North Carolina A & T State University and he received the M. S. and Ph. D. degrees in Electrical Engineering from North Carolina State University. His research focuses on developing computational and analytical solutions for modeling and understanding the combinatorial interactions of biomolecular, physiological, and structural processes that impact plant growth, development, and adaptation. His research involves the development of methodologies familiar to other areas of electrical and computer engineering (e.g. computational intelligence, system identification, uncertainty propagation, experimental design, nonlinear systems analysis, control, and signal processing) to predict the impact that internal (genetic) and external (environmental) perturbations have on overall plant response (e.g. biomass, cellulose content, and plant cell wall strength). He has taught courses in analytical foundations of electrical and computer engineering, DSP, and analysis of nonlinear complex systems at North Carolina State University since 2008.
Dr. Williams is a member of IEEE.
