• Title: Introduction to Signal Processing
• Author(s) Sophocles J. Orfanidis
• Publisher: Pearson Education, Inc. 2009; eBook (Online Edition by Rutgers University)
• Hardcover/Paperback: 798 pages
• eBook: PDF
• Language: English
• ISBN-10/ASIN: 0132091720
• ISBN-13: 978-0132091725
• Share This:  

Book Description

This book differs from the classical DSP book model pioneered by O/S. Includes chapters on DFT, Z-Transform and Filter Design. The book starts out with what one reviewer calls "fun topics", and DSP applications.

The Online Edition includes corrections of all the typos.

• N/A

• Amazon

• Digital Signal Processing (DSP), Sound and Imaging Processing
• Statistics and Mathematical Statistics
• Electronics Circuit Design and Programming

• Introduction to Signal Processing (Sophocles J. Orfanidis)
• The Mirror Site (1) - PDF

• Signal Processing: A Mathematical Approach (Charles L. Byrne)

  This book is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment, with Fourier series, matrices, probability, and statistics, etc.

• Structure and Interpretation of Signals and Systems

  This book introduces the mathematical models used to design and understand both Signals and Systems. Developing a deep understanding of how to digitally create and manipulate signals to measure and control the physical world and communication.

• Window Functions and Their Applications in Signal Processing

  This book presents an exhaustive and detailed account of Window Functions and their applications in signal processing, focusing on the areas of digital spectral analysis, design of FIR filters, pulse compression radar, and speech signal processing.

• Fourier and Wavelet Signal Processing (Martin Vetterli, et al)

  This book, together with its predecessor Foundations of Signal Processing, presents a thorough introduction to the mathematical foundations of signal and image processing using Fourier and Wavelet Transforms.

• Foundations of Signal Processing (Martin Vetterli, et al)

  This comprehensive and engaging textbook introduces the basic principles and techniques of signal processing, from the fundamental ideas of signals and systems theory to real-world applications.

• The Scientist and Engineer's Guide to Digital Signal Processing

  Written by a working scientist/engineer who has used DSP in his inventions and designs, this book will help design engineers on the job trying to master a tough subject that is now regarded as an essential engineering skill and put it to use.

• An Introduction to Digital Signal Processing: Implementation

  This book aims at undergraduate students who have basic knowledge in C programming, Circuit Theory, Systems and Simulations, and Spectral Analysis, focuses on basic concepts of digital signal processing, MATLAB simulation and implementation.

• Signal Computing: Digital Signals in the Software Domain

  Digital signals place great demands on processing power, network bandwidth, storage capacity, I/O speed, and software design. As a result, signal computing is a great laboratory for exercising the full range of knowledge of computer science.

• O'Reilly® Think DSP: Digital Signal Processing in Python

  This book is an introduction to signal processing and system analysis using a computational approach with Python as the programming language. It develops the important ideas incrementally, with a focus on applications.

• Introduction to Statistical Signal Processing (Robert M. Gray, et al)

  This book describes the essential tools and techniques of statistical signal processing, with specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, etc.