Digital Signal Processing: An Introduction

by R. Anand PhD

Overview

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

Product Details

ISBN-13:	9781683928003
Publisher:	Mercury Learning and Information
Publication date:	05/30/2022
Sold by:	Barnes & Noble
Format:	eBook
Pages:	652
File size:	28 MB
Note:	This product may take a few minutes to download.

About the 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.

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