subcategories
Wavelets (8)
e-books in Signal Processing category
Bayesian Methods in the Search for MH370by Samuel Davey, et al. - Springer , 2016
This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. The probability distribution was used to define the search zone in the Ocean.
(7014 views)
Signal Computing: Digital Signals in the Software Domainby M. Stiber, B.Z. Stiber, E.C. Larson - University of Washington Bothell , 2016
The specific topics we will cover include: physical properties of the source information, devices for information capture, digitization, compression, digital signal representation, digital signal processing and network communication.
(8266 views)
Bayesian Inferenceby Javier Prieto Tejedor (ed.) - InTech , 2017
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.
(8020 views)
Fourier Transforms: High-tech Application and Current Trendsby G. Nikolic, M. Cakic, D. Cvetkovic (eds) - InTech , 2017
The book provides a review on recent advances in Fourier transforms as the most powerful analytical tool for applications in electronic and computer engineering, as well as spectral techniques with a wide range of nanotechnological applications.
(8357 views)
Audio Signal Processingby Vesa Valimaki - MDPI AG , 2017
Audio signal processing is a highly active research field where digital signal processing theory meets human sound perception and real-time programming requirements. It has a wide range of applications in computers, gaming, music technology, etc.
(9310 views)
Think DSP: Digital Signal Processing in Pythonby Allen B. Downey - Green Tea Press , 2014
'Think DSP: Digital Signal Processing in Python' is an introduction to signal processing and system analysis using a computational approach. The premise of this book is that if you know how to program, you can use that skill to learn other things.
(13780 views)
Fourier Transform: Signal Processing and Physical Sciencesby Salih Mohammed Salih (ed.) - InTech , 2015
The book covers fast hybrid recursive FT based on Jacket matrix, acquisition algorithm for global navigation system, determining the sensitivity of output parameters based on FFT, convergence of integrals based on Riemann-Lebesgue Lemma function, ...
(8726 views)
Statistical Spectral Analysis: A Non-Probabilistic Theoryby William A. Gardner - 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.
(11108 views)
Digital Filters and Signal Processingby F.P.G. Marquez, N. Zaman (ed.) - 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.
(10679 views)
Signal Processing for Communicationsby Paolo Prandoni, Martin Vetterli - 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.
(12292 views)
Fourier Transform - Signal Processingby Salih Mohammed Salih - 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.
(12382 views)
Notes on the Design of Optimal FIR Filtersby John Treichler - 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.
(11235 views)
Concise Signal Modelsby Michael Wakin - 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.
(10895 views)
Digital Filtersby Fausto Pedro García Marquez - 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.
(13484 views)
The Fundamentals of Signal Analysis- Agilent Technologies , 2000
This text is a primer for those who are unfamiliar with the advantages of analysis in the frequency and modal domains and Dynamic Signal Analyzers. The authors avoid the use of rigorous mathematics and instead depend on heuristic arguments.
(15137 views)
Signal Processingby Sebastian Miron - 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.
(14871 views)
Introduction To Random Processesby William A. Gardner - 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.
(14461 views)
Elements of Signal Detection and Estimationby Carl W. Helstrom - 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.
(16151 views)
Optimum Signal Processingby 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.
(15066 views)
Introduction to Signal Processingby Sophocles J. Orfanidis - 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.
(18926 views)
R. R. Bahadur's Lectures on the Theory of Estimationby Raghu Raj Bahadur, at al. - 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.
(12838 views)
Kalman Filterby Vedran Kordic - 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.
(14093 views)
The Fourier Transform and its Applicationsby Brad Osgood - 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.
(20487 views)
Physical Audio Signal Processingby Julius O. Smith III - 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.
(20467 views)
Hidden Markov Models: Estimation and Controlby R. J. Elliott, L. Aggoun, J. B. Moore - 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.
(16216 views)
Optimal Filteringby B.D.O. Anderson, J.B. Moore - 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.
(23549 views)
An Exploration of Random Processes for Engineersby Bruce Hajek - 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.
(17416 views)
Structure and Interpretation of Signals and Systemsby E. A. Lee, P. Varaiya - 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.
(16533 views)
Fast Fourier Transformsby C. Sidney Burrus, at al. - 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.
(15976 views)
Kalman Filter Recent Advances and Applicationsby Victor M. Moreno, Alberto Pigazo - 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.
(16734 views)
Detection of Abrupt Changes: Theory and Applicationby Michele Basseville, Igor V. Nikiforov - 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.
(18502 views)
Bayesian Spectrum Analysis and Parameter Estimationby G. Larry Bretthorst - 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.
(20215 views)
DSP: Designing for Optimal Results- 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.
(14840 views)
Advances in Sonar Technologyby Sergio Rui Silva - 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.
(18142 views)
Principles of Computerized Tomographic Imagingby Avinash C. Kak, Malcolm Slaney - 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.
(25613 views)
The Theory of Linear Predictionby P. Vaidyanathan - 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.
(16992 views)
Mixed-signal and DSP Design Techniquesby Walt Kester - 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.
(18525 views)
Mathematics of the Discrete Fourier Transform (DFT): with Audio Applicationsby Julius O. Smith III - 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.
(24163 views)
Introduction to Digital Filters: with Audio Applicationsby Julius O. Smith III - 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.
(23832 views)
The Scientist and Engineer's Guide to Digital Signal Processingby Steven W. Smith - 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.
(67230 views)
Modern Signal Processingby Daniel N. Rockmore, Jr, Dennis M. Healy - 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.
(19336 views)
An Introduction to Statistical Signal Processingby R. M. Gray, L. D. Davisson - 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.
(26765 views)