**Introduction to Signal Processing**

by Sophocles J. Orfanidis

**Publisher**: Prentice Hall 2009**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.

Download or read it online for free here:

**Download link**

(6.8MB, PDF)

## Similar books

**Elements of Signal Detection and Estimation**

by

**Carl W. Helstrom**-

**Prentice Hall**

This is an introduction to signal-detection theory, a subject fundamental to the design of detectors of weak signals in the presence of random noise, and to the design of optimal receivers of communication, radar, sonar and optical signals.

(

**7610**views)

**Digital Signal Processing and Analysis**

by

**Jeff Fessler**-

**University of Michigan**

Course objectives: 1. to teach students the concepts of discrete-time signals, including mathematical representations; 2. to teach students the concepts of linear time-invariant discrete-time systems; 3. to introduce the concepts of filter design.

(

**12306**views)

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

by

**Steven W. Smith**-

**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.

(

**54505**views)

**R. R. Bahadur's Lectures on the Theory of Estimation**

by

**Raghu Raj Bahadur, at al.**-

**IMS**

In this volume the author covered what should be standard topics in a course of parametric estimation: Bayes estimates, unbiased estimation, Fisher information, Cramer-Rao bounds, and the theory of maximum likelihood estimation.

(

**5845**views)