Logo

Introduction to Signal Processing

Large book cover: Introduction to Signal Processing

Introduction to Signal Processing
by

Publisher: Prentice Hall
ISBN/ASIN: 0132091720
ISBN-13: 9780132091725
Number of pages: 398

Description:
Provides an applications-oriented introduction to digital signal processing. Orfandis covers all the basic DSP concepts and methods, such as sampling, discrete-time systems, DFT/FFT algorithms, and filter design. The book emphasizes the algorithmic, computational, and programming aspects of DSP, and includes a large number of worked examples, applications, and computer examples.

Home page url

Download or read it online for free here:
Download link
(6.8MB, PDF)

Similar books

Book cover: Optimal FilteringOptimal Filtering
by - Prentice-Hall
This graduate-level text augments and extends studies of signal processing, particularly in regard to communication systems and digital filtering theory. Topics include filtering, linear systems, and estimation; the discrete-time Kalman filter; etc.
(10005 views)
Book cover: Statistical Spectral Analysis: A Non-Probabilistic TheoryStatistical Spectral Analysis: A Non-Probabilistic Theory
by - Prentice Hall
This book is intended to serve as both a graduate-level textbook and a technical reference. The focus is on fundamental concepts, analytical techniques, and basic empirical methods. The only prerequisite is an introductory course on Fourier analysis.
(4604 views)
Book cover: An Introduction to Digital Signal ProcessingAn Introduction to Digital Signal Processing
by - Academic Press
The book comprises a one-semester or self-study course, filling the gap between several oversimplified introductions and more topically specialized or formal treatments. Karl's book wins notable points for its easy reading style.
(11302 views)
Book cover: Think DSP: Digital Signal Processing in PythonThink DSP: Digital Signal Processing in Python
by - Green Tea Press
'Think DSP: Digital Signal Processing in Python' is an introduction to signal processing and system analysis using a computational approach. The premise of this book is that if you know how to program, you can use that skill to learn other things.
(2483 views)