Fundamentals of Digital Signal Processing Using MATLAB (with CD-ROM)

Schilling, Robert J., Harris, Sandra L

ISBN 10: 0534391508 / ISBN 13: 9780534391508

Published by CL Engineering, 2004

About this Item

Like New. Seller Inventory # ERICA77305343915086

Bibliographic Details

Title: Fundamentals of Digital Signal Processing ...

Publisher: CL Engineering

Publication Date: 2004

Binding: Hardcover

Condition: Like New

Book Type: book

About this title

Synopsis:

This innovative text and CD-ROM focuses on the fundamentals of digital signal processing with an emphasis on practical applications. In order to motivate students, many of the examples illustrate the processing of speech and music. This theme is also a focus of the course software that features facilities for recording and playing sound on a standard PC. The accompanying CD-ROM contains a comprehensive MATLAB software package called the Fundamentals of Digital Signal Processing (FDSP) toolbox. The FDSP toolbox includes chapter GUI modules, an extensive library of DSP functions, all computational examples that appear in the text, the text figures, solutions to selected problems, and online help documentation. Using the interactive GUI modules, students can explore, compare, and directly experience the effects of signal processing techniques without any need for programming.

About the Authors:

Robert J. Schilling is Professor Emeritus of Electrical and Computer Engineering at Clarkson University. Dr. Schilling's teaching interests include digital signal processing, control systems, robotics, nonlinear systems, computer graphics, and C++ and MATLAB programming. His research interests encompass adaptive signal processing, nonlinear system identification, active noise control, and control of robotic manipulators.

Bio: Sandra L. Harris is Associate Professor Emeritus of Chemical Engineering at Clarkson University. Dr. Harris's teaching interests include process control, thermodynamics, and biochemical engineering. Her research interests center around periodic processing, control of systems having varying dead times, and the generation of input signals for efficient process identification.