Signal Processing incorporates all aspects of the theory and practice of analogue and digital signal processing. And because the subject is vital for electronics engineers, here’s our attempt to bring some help with this collection of free ebooks and notes. Happy learning!
Atithya Amaresh
Cyclostationarity in Communications and Signal Processing
Author: William A. Gardner
Publisher: Ieee, 1994
This book describes individual treatments of the biggest topics of cyclostationarity in man-made signals encountered in communication, telemetry, radar…, by featuring selected articles that survey the latest developments in various specific areas.
Statistical Spectral Analysis: A Non-Probabilistic Theory
Author: William A. Gardner
Publisher: Prentice Hall, 1988
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.
Digital Filters and Signal Processing
Author: F.P.G. Marquez, N. Zaman (ed.)
Publisher: InTech, 2013
Digital filters, together with signal processing, are being employed in the new technologies and information systems, and implemented in different areas and applications. This book presents advanced developments, covering different cases studies.
Signal Processing for Communications
Author: Paolo Prandoni, Martin Vetterli
Publisher: EFPL Press, 2008
The book is less focused on the mathematics and more on the concepts, allowing students to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics and helping students solve real-world problems.
Fourier Transform – Signal Processing
Author: Salih Mohammed Salih
Publisher: InTech, 2012
This book focuses on the Fourier transform applications in signal processing techniques. Topics covered: DFT, FFT, OFDM, estimation techniques and the image processing techniques. Written for electrical engineers, communication engineers, etc.
Notes on the Design of Optimal FIR Filters
Author: John Treichler
Publisher: Connexions, 2009
This book examines how to convert a typical filter specification into a reasonably accurate estimate of the length of the impulse response. The text covers filter sizing, performance comparisons with other FIR design methods, etc.
Concise Signal Models
Author: Michael Wakin
Publisher: Connexions, 2009
This book reviews fundamental concepts underlying the use of concise models for signal processing. Topics are presented from a geometric perspective and include low-dimensional linear, sparse, and manifold-based signal models, approximation, etc.
Digital Filters
Author: Fausto Pedro GarcÃa Marquez
Publisher: InTech, 2011
Digital filters are the most versatile, practical and effective methods for extracting the information necessary from the signal. This book presents the most advanced digital filters including different case studies and the most relevant literature.
Signal Processing
Author: Sebastian Miron
Publisher: InTech, 2010
The exponential development of computer power over the last few decades, transformed signal processing in an essential tool for a wide range of domains such as telecommunications. This book provides highlights of the current research in the area.
Introduction To Random Processes
Author: William A. Gardner
Publisher: McGraw-Hill, 1990
A first course on random processes for graduate engineering and science students, particularly those with an interest in the analysis and design of signals and systems. The book includes detailed coverage of minimum-mean-squared-error estimation.
Elements of Signal Detection and Estimation
Author: Carl W. Helstrom
Publisher: Prentice Hall, 1994
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.
Optimum Signal Processing
Author: Sophocles J. Orfanidis, 2007
In this edition the emphasis is on real-time adaptive signal processing, eigenvector methods of spectrum estimation, and parallel processor implementations of optimum filtering and prediction algorithms, and including several new developments.
Introduction to Signal Processing
Author: Sophocles J. Orfanidis
Publisher: Prentice Hall, 2009
An applications-oriented introduction to digital signal processing. The author covers all the basic DSP concepts, such as sampling, DFT/FFT algorithms, etc. The book emphasizes the algorithmic, computational, and programming aspects of DSP.
R. R. Bahadur’s Lectures on the Theory of Estimation
Author: Raghu Raj Bahadur, at al.
Publisher: IMS, 2002
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.
Kalman Filter
Author: Vedran Kordic
Publisher: InTech, 2010
The Kalman filter has been successfully employed in diverse knowledge areas over the last 50 years. The aim of this book is to provide an overview of recent developments in Kalman filter theory and their applications in engineering and science.
An Introduction to Digital Signal Processing
Author: J. H. Karl
Publisher: Academic Press, 1989
The book comprises a one-semester or self-study course, filling the gap between several oversimplified introductions and more topically specialized or formal treatments. Karl’s book wins notable points for its easy reading style.
The Fourier Transform and its Applications
Author: Brad Osgood
Publisher: Stanford University, 2009
This text is appropriate for science and engineering students. Topics include: Periodicity and Fourier series; The Fourier transform and its basic properties; Convolution and its applications; Distributions and their Fourier transforms; etc.
Physical Audio Signal Processing
Author: Julius O. Smith III
Publisher: DSPRelated.com, 2007
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.
Hidden Markov Models: Estimation and Control
Author: R. J. Elliott, L. Aggoun, J. B. Moore
Publisher: Springer, 1995
The aim of this book is to present graduate students with a thorough survey of reference probability models and their applications to optimal estimation and control. Readers are assumed to have basic grounding in probability and systems theory.
Optimal Filtering
Author: B.D.O. Anderson, J.B. Moore
Publisher: Prentice-Hall, 1979
This graduate-level text augments and extends studies of signal processing, particularly in regard to communication systems and digital filtering theory. Topics include filtering, linear systems, and estimation; the discrete-time Kalman filter; etc.
An Exploration of Random Processes for Engineers
Author: Bruce Hajek
Publisher: University of Illinois at Urbana-Champaign, 2009
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.
Structure and Interpretation of Signals and Systems
Author: E. A. Lee, P. Varaiya
Publisher: Addison Wesley, 2002
An introduction to signals and systems for electrical engineering, computer engineering, and computer science students. The material motivates signals and systems through sound and images, as opposed to circuits. Calculus is the only prerequisite.
Nonlinear Parameter Estimation: An Integrated System in Basic
Author: John C. Nash
Publisher: Marcel Dekker Inc, 1995
This book and software collection is intended to help scientists, engineers and statisticians in their work. We have collected various software tools for nonlinear parameter estimation, along with representative example problems.
Fast Fourier Transforms
Author: C. Sidney Burrus, at al.
Publisher: Connexions, 2008
This book uses an index map, a polynomial decomposition, an operator factorization, and a conversion to a filter to develop a very general description of fast algorithms to calculate the discrete Fourier transform. Computer programs are provided.
Kalman Filter Recent Advances and Applications
Author: Victor M. Moreno, Alberto Pigazo
Publisher: INTECH, 2009
An overview of recent developments in Kalman filter theory and their applications in engineering and scientific fields. The book covers recent advances in Kalman filtering theory and applications in electrical engineering and other areas.
Detection of Abrupt Changes: Theory and Application
Author: Michele Basseville, Igor V. Nikiforov
Publisher: Prentice-Hall, 1993
This book presents mathematical tools and techniques for solving change detection problems in wide domains like signal processing, controlled systems and monitoring. The book is intended for engineers and researchers involved in signal processing.
Bayesian Spectrum Analysis and Parameter Estimation
Author: G. Larry Bretthorst
Publisher: Springer, 1988
This work is a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis.
DSP: Designing for Optimal Results
Publisher: Xilinx, Inc., 2005
The book for DSP designers who want to tap the power of the Virtex-4 XtremeDSP Slice. It provides a description of the features of the slice as well as multiple examples that show you how to harness the power and flexibility of this IP block.
Advances in Sonar Technology
Author: Sergio Rui Silva
Publisher: InTech, 2009
Simulation and 3D reconstruction of side-looking sonar images, synthetic aperture techniques, ensemble averaging and resolution enhancement of digital radar and sonar signals, multi-sonar integration and the advent of sensor intelligence, and more.
Digital Filter Design
Author: Zoran Milivojević
Publisher: mikroElektronika, 2009
The book provides various theoretical and practical approaches to digital filter design. It covers design of both finite and infinite impulse response filters. It applies the most commonly used design methods giving the best solutions.
Principles of Computerized Tomographic Imaging
Author: Avinash C. Kak, Malcolm Slaney
Publisher: IEEE Press, 1989
A comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data and contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging.
The Theory of Linear Prediction
Author: P. Vaidyanathan
Publisher: Morgan and Claypool Publishers, 2008
Linear prediction theory has had a profound impact in the field of digital signal processing. This book focuses on the theory of vector linear prediction and line spectral processes. There are several examples and computer-based demonstrations.
Mixed-signal and DSP Design Techniques
Author: Walt Kester
Publisher: Newnes, 2002
The book explains signal processing hardware. It covers sampled data systems, A-to-D and D-to-A converters for DSP applications, fast Fourier transforms, digital filters, DSP hardware, interfacing to DSP chips, hardware design techniques.
Mathematics of the Discrete Fourier Transform (DFT): with Audio Applications
Author: Julius O. Smith III
Publisher: W3K Publishing, 2007
Detailed mathematical derivation of DFT (Discrete Fourier Transform), with elementary applications to audio signal processing. Matlab programming examples are included. High-school math background is a prerequisite, including some calculus.
Introduction to Digital Filters: with Audio Applications
Author: Julius O. Smith III
Publisher: W3K Publishing, 2007
An introduction to digital filters, it covers mathematical theory, useful examples, audio applications, and some software starting points and Matlab programming examples. The theory treats concepts in digital filter analysis and linear systems theory.
The Scientist and Engineer’s Guide to Digital Signal Processing
Author: Steven W. Smith
Publisher: California technical Publishing, 1999
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.
Modern Signal Processing
Author: Daniel N. Rockmore, Jr, Dennis M. Healy
Publisher: Cambridge University Press, 2004
The book about the mathematical basis of signal processing and its many areas of application for graduate students. The text emphasizes current challenges, new techniques adapted to new technologies, and recent advances in algorithms and theory.
An Introduction to Statistical Signal Processing
Author: R. M. Gray, L. D. Davisson
Publisher: Cambridge University Press, 2005
The book covers basic probability, random objects, expectation, second order moment theory with examples of the random process models and their basic properties, specific applications for communication, estimation, detection, modulation.
The writer is a senior correspondent at EFY, Gurgaon
