Foundations of Digital Signal Processing: Theory, algorithms and hardware design

Foundations of Digital Signal Processing: Theory, algorithms and hardware design starts by introducing the mathematical foundations of DSP, assuming little prior knowledge of the subject from the reader, and moves on to discuss more complex topics such as Fourier, Laplace and digital filtering. It provides detailed information on off-line, real-time and DSP programming, and guides the reader through advanced topics such as DSP hardware design, FIR and IIR filter design and difference equation manipulation.

A CD accompanies the book. It provides the reader with programs that demonstrate equations discussed in the text and source codes to enable the reader to incorporate algorithms into their own DSP programs.

Dr Patrick Gaydecki is a Reader in the Sensing, Imaging and Signal Processing Group within the School of Electrical and Electronic Engineering at the University of Manchester. His research interests include the design of real-time and offline digital signal processing systems, instrumentation for nondestructive testing and monitoring, and software development for audio and biomedical applications.