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: Physical Audio Signal ProcessingPhysical Audio Signal Processing
by - DSPRelated.com
This book was developed for a course entitled 'Signal Processing Methods in Musical Acoustics'. The text was created primarily as a research preparation and dissemination vehicle intended for graduate students in computer music and engineering.
(10972 views)
Book cover: Modern Signal ProcessingModern Signal Processing
by - Cambridge University Press
The book about the mathematical basis of signal processing and its many areas of application for graduate students. The text emphasizes current challenges, new techniques adapted to new technologies, and recent advances in algorithms and theory.
(11353 views)
Book cover: The Scientist and Engineer's Guide to Digital Signal ProcessingThe Scientist and Engineer's Guide to Digital Signal Processing
by - California technical Publishing
Digital Signal Processing is one of the most powerful technologies that will shape science and engineering in the twenty-first century. The book presents the fundamentals of DSP using examples from common science and engineering problems.
(55405 views)
Book cover: An Introduction to Statistical Signal ProcessingAn Introduction to Statistical Signal Processing
by - Cambridge University Press
The book covers basic probability, random objects, expectation, second order moment theory with examples of the random process models and their basic properties, specific applications for communication, estimation, detection, modulation.
(19258 views)