**Modern Signal Processing**

by Daniel N. Rockmore, Jr, Dennis M. Healy

**Publisher**: Cambridge University Press 2004**ISBN/ASIN**: 052182706X**ISBN-13**: 9780521827065**Number of pages**: 352

**Description**:

The mathematical basis of signal processing and its many areas of application is the subject of this book. Based on a series of graduate-level lectures held at the Mathematical Sciences Research Institute, the volume emphasizes current challenges, new techniques adapted to new technologies, and certain recent advances in algorithms and theory.

Download or read it online for free here:

**Download link**

(multiple PDF files)

## Similar books

**Bayesian Inference**

by

**Javier Prieto Tejedor (ed.)**-

**InTech**

This book takes a look at both theoretical foundations and practical implementations of Bayesian inference. It is intended as an introductory guide for the application of Bayesian inference in the fields of life sciences, engineering, and economics.

(

**756**views)

**Statistical Spectral Analysis: A Non-Probabilistic Theory**

by

**William A. Gardner**-

**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.

(

**3741**views)

**An Exploration of Random Processes for Engineers**

by

**Bruce Hajek**-

**University of Illinois at Urbana-Champaign**

These notes were written for a graduate course on random processes. Students are assumed to have had a previous course in probability, some familiarity with real analysis and linear algebra, and some familiarity with complex analysis.

(

**8588**views)

**Physical Audio Signal Processing**

by

**Julius O. Smith III**-

**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.

(

**10116**views)