Foundations of Digital Signal Processing
IET Digital Library
This title is available electronically through the IET Digital Library
Author: P. Gaydecki
Product Code: PBCS0150
Pagination: 484pp. & CD-ROM
Stock Status: In stock
£50.70 Member price
£78.00 Full price
Scope: An excellent introductory text, this book covers the basic theoretical, algorithmic and real-time aspects of digital signal processing (DSP). Detailed information is provided on off-line, real-time and DSP programming and the reader is effortlessly guided through advanced topics such as DSP hardware design, FIR and IIR filter design and difference equation manipulation. There are many practical examples illustrated throughout plus an accompanying CD which provides programs that demonstrate equations discussed in the text, enabling the reader to incorporate algorithms into their own DSP programs.
About the Author: 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.
Ideally suited to specialist and non-specialist graduates and professionals.
Definitions and Applications of DSP. A Linear Systems Toolbox. An Introduction to High-Level Computer Programming Using Delphi. Analysis of Simple Electrical Systems Using Complex Impedance, Differential and Difference Equations. Introduction to Convolution and Correlation. Fourier Analysis.
Discrete Fourier Properties and Processing. Introduction to Laplace Space and the Laplace Transform. An Introduction to Z-Space, the Z-Transform and Digital Filter Design. Signal Sampling, Analogue to Digital and Digital to Analogue Conversion. The Design and Implementation of Finite Impulse Response Filters.
The Design and Implementation of Infinite Impulse Response Filters. Rudiments of Adaptive Filters. The Design and Programming of Real Time DSP Systems. The Freescale Semiconductor (Formally Motorola SPS) DSP56309 Processor-Architecture and Language. The Design and Programming of Real Time DSP Systems. Hardware and Algorithms.