Signal Processing Series
  
   

Signal Processing Series
Annual Subscription

 
Copyright © 2018| 0 Pages

Ordering Options:

Price $99.95

Purchasing Options:


The Signal Processing series contains 14 books published by Morgan & Claypool since 2010. Your annual subscription gives you access to each and every book through the MyBookshelf application.

SERIES EDITOR: Jose Moura, Carnegie Mellon University

This series covers theory and theoretical methods of signal processing, performance analysis, and applications. Some books cover well-established areas while others venture into brand new topics in signal processing.

ANY NEW BOOK PUBLISHED DURING YOUR ANNUAL SUBSCRIPTION TERM IS AUTOMATICALLY INCLUDED AT NO EXTRA COST.

CURRENT BOOKS


Anywhere-Anytime Signals and Systems Laboratory, 2nd Edition
Nasser Kehtarnavaz, Fatemeh Saki – 2018

Smartphone-Based Real-Time Digital Signal Processing
Nasser Kehtarnavaz, Shane Parris, Abishek Sehgal – 2015

An Introduction to Kalman Filtering with MATLAB Examples
Narayan Kovvali, Mahesh Banavar, Andreas Spanias – 2013

Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering
Marcelo G. S. Bruno – 2013

Processing of Seismic Reflection Data Using MATLAB
Wail Mousa, Abdullatif A. Al-Shuhail – 2011

Fixed-Point Signal Processing
Wayne Padgett, David Anderson – 2009

DSP for MATLAB, Volume 4
Forester W. Isen – 2009

DSP for MATLAB, Volume 3
Forester W. Isen – 2008

DSP for MATLAB, Volume 2
Forester W. Isen – 2008

DSP for MATLAB, Volume 1
Forester W. Isen – 2008

Advanced Radar Detection Schemes Under Mismatched Signal Models
Francesco Bandiera, Danilo Orlando, Giuseppe Ricci – 2009

The Theory of Linear Prediction
P. P. Vaidyanathan – 2007

Spectral Analysis of Signals
Yanwei Wang, Jian Li, Petre Stoica – 2006

Nonlinear Source Separation
Luis B. Almeida – 2006

Table of Contents



About the Author(s)

Reviews
Browse by Subject
Case Studies in Engineering
ACM Books
Society for Experimental Mechanics Books
0 items
LATEST NEWS

Newsletter
Note: Registered customers go to: Your Account to subscribe.

E-Mail Address:

Your Name: