Digital Signal Processing
An Introduction
- Publisher
Mercury Learning and Information - Published
1st June 2022 - ISBN 9781683928027
- Language English
- Pages 652 pp.
- Size 7" x 9"
E-books are now distributed via RedShelf or VitalSource
You will choose the vendor in the cart as part of the check out process. These vendors offer a more seamless way to access the ebook, and add some great new features including text-to-voice. You own your ebook for life, it is simply hosted on the vendors website, working much like Kindle and Nook. Click here to see more detailed information on this process.
- Publisher
Mercury Learning and Information - Published
4th May 2022 - ISBN 9781683928003
- Language English
- Pages 652 pp.
- Size 7" x 9"
Library E-Books
We are signed up with aggregators who resell networkable e-book editions of our titles to academic libraries. These editions, priced at par with simultaneous hardcover editions of our titles, are not available direct from Stylus.
These aggregators offer a variety of plans to libraries, such as simultaneous access by multiple library patrons, and access to portions of titles at a fraction of list price under what is commonly referred to as a "patron-driven demand" model.
- Publisher
Mercury Learning and Information - Published
4th May 2022 - ISBN 9781683928010
- Language English
- Pages 652 pp.
- Size 7" x 9"
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
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
R. Anand, PhD
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.