Signal Processing

SERIES EDITOR: José 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.

Series ISSN: 1932-1236 (print) 1932-1694 (electronic)

Editor Bios


Anywhere-Anytime Signals and Systems Laboratory Anywhere-Anytime Signals and Systems Laboratory
Nasser Kehtarnavaz, Fatemeh Saki
A typical undergraduate electrical engineering curriculum incorporates a signals and systems course. The widely used approach for the laboratory component of such courses involves the utilization of MATLAB to implement signals and systems concepts. T...
Publication Date: October, 2016

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Smartphone-Based Real-Time Digital Signal Processing Smartphone-Based Real-Time Digital Signal Processing
Nasser Kehtarnavaz, Shane Parris, Abishek Sehgal
Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses in many engineering programs for the purpose of teaching students the technical know-how for putting...
Publication Date: August, 2015

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An Introduction to Kalman Filtering with MATLAB Examples An Introduction to Kalman Filtering with MATLAB Examples
Narayan Kovvali, Mahesh Banavar, Andreas Spanias
The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, the...
Publication Date: 09/01/2013

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Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering
Marcelo G. S. Bruno
In these notes, we introduce particle filtering as a recursive importance sampling method that approximates the minimum-mean-square-error (MMSE) estimate of a sequence of hidden state vectors in scenarios where the joint probability distribution of t...
Publication Date: 01/01/2013

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Processing of Seismic Reflection Data Using MATLAB Processing of Seismic Reflection Data Using MATLAB
Wail Mousa, Abdullatif A. Al-Shuhail
This short book is for students, professors and professionals interested in signal processing of seismic data using MATLAB. The step-by-step demo of the full reflection seismic data processing workflow using a complete real seismic data set places it...
Publication Date: 01/01/2011

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Fixed-Point Signal Processing Fixed-Point Signal Processing
Wayne Padgett, David Anderson
This book is intended to fill the gap between the "ideal precision" digital signal processing (DSP) that is widely taught, and the limited precision implementation skills that are commonly required in fixed-point processors and field programmable gat...
Publication Date: 01/01/2009

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DSP for MATLAB, Volume 4 DSP for MATLAB, Volume 4
Forester W. Isen
This book is Volume IV of the series DSP for MATLAB and LabVIEW. Volume IV is an introductory treatment of LMS Adaptive Filtering and applications, and covers cost functions, performance surfaces, coefficient perturbation to estimate the gradient, th...
Publication Date: 01/01/2009

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DSP for MATLAB, Volume 3 DSP for MATLAB, Volume 3
Forester W. Isen
This book is Volume III of the series DSP for MATLAB and LabVIEW. Volume III covers digital filter design, including the specific topics of FIR design via windowed-ideal-lowpass filter, FIR highpass, bandpass, and bandstop filter design from windowed...
Publication Date: 01/01/2008

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DSP for MATLAB, Volume 2 DSP for MATLAB, Volume 2
Forester W. Isen
This book is Volume II of the series DSP for MATLAB and LabVIEW. This volume provides detailed coverage of discrete frequency transforms, including a brief overview of common frequency transforms, both discrete and continuous, followed by detailed tr...
Publication Date: 01/01/2008

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DSP for MATLAB, Volume 1 DSP for MATLAB, Volume 1
Forester W. Isen
This book is Volume I of the series DSP for MATLAB and LabVIEW. The entire series consists of four volumes that collectively cover basic digital signal processing in a practical and accessible manner, but which nonetheless include all essential found...
Publication Date: 01/01/2008

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Advanced Radar Detection Schemes Under Mismatched Signal Models Advanced Radar Detection Schemes Under Mismatched Signal Models
Francesco Bandiera, Danilo Orlando, Giuseppe Ricci
Adaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades. This topic is important in many areas of signal processing such as, just to give some examples, radar, sonar, communications...
Publication Date: 01/01/2009

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The Theory of Linear Prediction The Theory of Linear Prediction
P. P. Vaidyanathan
Linear prediction theory has had a profound impact in the field of digital signal processing. Although the theory dates back to the early 1940s, its influence can still be seen in applications today. The theory is based on very elegant mathematics an...
Publication Date: 01/01/2007

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Spectral Analysis of Signals Spectral Analysis of Signals
Yanwei Wang, Jian Li, Petre Stoica
Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis, medical imaging, radar, sonar, and underwater acoustics. Most existing spectral estimation algorithms are devise...
Publication Date: 01/01/2006

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Nonlinear Source Separation Nonlinear Source Separation
Luis B. Almeida
The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers. Source separation deals with the problem of recovering sources that are observed...
Publication Date: 01/01/2006

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