Digital Signal Processing : An Introduction

Designed to cover the fundamental concepts of digital signal processing, the book introduces topics such as discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, statistical DSP, applications, and more. DSP has been applied in most disciplines ranging from engineering to telecommunications, and from astronomy to medical imaging. This book focuses on the fundamentals of DSP, namely on the representation of signals by mathematical models and on the processing of signals by discrete-time systems.

Features
+Designed to cover the fundamental concepts of DSP
+Introduces topics such as discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, statistical DSP, applications, and more
+Features a variety of exercises and a glossary

Table of Contents
1: Introduction to Digital Signal Processing (DSP). 2: Review of Discrete—Time Signals and Systems. 3: The z-Transform. 4: Frequency Analysis Using DTFT. 5: Discrete Fourier Transforms (DFTs). 6: Fast Fourier Transform (FFT) Algorithms. 7: Implementation of Discrete-Time Systems. 8: Digital Filters. 9: Design and Analysis of Infinite Impulse. 10: Design and Analysis of Finite Impulse. 11: Statistical Digital Signal Processing. 12: Multirate Digital Signal Processing (MDSP). 13: Applications of Digital Signal Processing to Speech. 14: Applications of Digital Signal Processing to Radar. Glossary. Index.

Author
R. Anand, PhD has written numerous journal articles and does research in electrical and mechanical engineering. He has taught a variety of courses in all areas of engineering and physics.