Digital Signal Processing

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.

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 and Williams cover 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.

1. Introduction to Digital Signal Processing2. Fundamental DSP Concepts3. Frequency Domain Analysis4. Design of Digital Filters5. Implementation of Discrete Time Systems6. Finite Word Length Effects7. Multi-rate Digital Signal Processing8. Digital Signal Processing Systems Design9. Hardware Implementation10. Introduction to Multi-demensional Discrete Time Systems