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

	Smartphone-Based Real-Time Digital Signal Processing, Second Edition Nasser Kehtarnavaz, Abhishek Sehgal, Shane Parris 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: December, 2018 Read More
	Anywhere-Anytime Signals and Systems Laboratory, Second Edition Nasser Kehtarnavaz, Fatemeh Saki, Adrian Duran 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: November, 2018 Read More
	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 Read More
	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 Read More
	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 Read More
	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 Read More
	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 Read More
	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 Read More
	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 Read More
	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 Read More
	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 Read More
	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 Read More
	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 Read More
	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 Read More