Linear Algebra For Signal Processing

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Linear Algebra for Signal Processing

Author : Adam Bojanczyk,George Cybenko
Publisher : Springer Science & Business Media
Page : 193 pages
File Size : 45,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461242284

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Linear Algebra for Signal Processing by Adam Bojanczyk,George Cybenko Pdf

Signal processing applications have burgeoned in the past decade. During the same time, signal processing techniques have matured rapidly and now include tools from many areas of mathematics, computer science, physics, and engineering. This trend will continue as many new signal processing applications are opening up in consumer products and communications systems. In particular, signal processing has been making increasingly sophisticated use of linear algebra on both theoretical and algorithmic fronts. This volume gives particular emphasis to exposing broader contexts of the signal processing problems so that the impact of algorithms and hardware can be better understood; it brings together the writings of signal processing engineers, computer engineers, and applied linear algebraists in an exchange of problems, theories, and techniques. This volume will be of interest to both applied mathematicians and engineers.

Linear Algebra, Signal Processing, and Wavelets - A Unified Approach

Author : Øyvind Ryan
Publisher : Springer
Page : 360 pages
File Size : 52,8 Mb
Release : 2019-03-05
Category : Mathematics
ISBN : 9783030018122

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Linear Algebra, Signal Processing, and Wavelets - A Unified Approach by Øyvind Ryan Pdf

This book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended. The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the MATLAB code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.

The Mathematics of Signal Processing

Author : Steven B. Damelin,Willard Miller
Publisher : Cambridge University Press
Page : 463 pages
File Size : 55,6 Mb
Release : 2012
Category : Mathematics
ISBN : 9781107013223

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The Mathematics of Signal Processing by Steven B. Damelin,Willard Miller Pdf

Develops mathematical and probabilistic tools needed to give rigorous derivations and applications of fundamental results in signal processing theory.

Foundations of Signal Processing

Author : Martin Vetterli,Jelena Kovačević,Vivek K Goyal
Publisher : Cambridge University Press
Page : 745 pages
File Size : 51,5 Mb
Release : 2014-09-04
Category : Computers
ISBN : 9781107038608

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Foundations of Signal Processing by Martin Vetterli,Jelena Kovačević,Vivek K Goyal Pdf

This comprehensive and accessible textbook introduces students to the basics of modern signal processing techniques.

Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms

Author : Gene H. Golub,Paul Van Dooren
Publisher : Springer Science & Business Media
Page : 717 pages
File Size : 55,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642755361

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Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms by Gene H. Golub,Paul Van Dooren Pdf

Numerical linear algebra, digital signal processing, and parallel algorithms are three disciplines with a great deal of activity in the last few years. The interaction between them has been growing to a level that merits an Advanced Study Institute dedicated to the three areas together. This volume gives an account of the main results in this interdisciplinary field. The following topics emerged as major themes of the meeting: - Singular value and eigenvalue decompositions, including applications, - Toeplitz matrices, including special algorithms and architectures, - Recursive least squares in linear algebra, digital signal processing and control, - Updating and downdating techniques in linear algebra and signal processing, - Stability and sensitivity analysis of special recursive least squares problems, - Special architectures for linear algebra and signal processing. This book contains tutorials on these topics given by leading scientists in each of the three areas. A consider- able number of new research results are presented in contributed papers. The tutorials and papers will be of value to anyone interested in the three disciplines.

Advanced Linear Algebra for Engineers with MATLAB

Author : Sohail A. Dianat,Eli Saber
Publisher : CRC Press
Page : 346 pages
File Size : 43,9 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781420095241

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Advanced Linear Algebra for Engineers with MATLAB by Sohail A. Dianat,Eli Saber Pdf

Arming readers with both theoretical and practical knowledge, Advanced Linear Algebra for Engineers with MATLAB® provides real-life problems that readers can use to model and solve engineering and scientific problems in fields ranging from signal processing and communications to electromagnetics and social and health sciences. Facilitating a unique understanding of rapidly evolving linear algebra and matrix methods, this book: Outlines the basic concepts and definitions behind matrices, matrix algebra, elementary matrix operations, and matrix partitions, describing their potential use in signal and image processing applications Introduces concepts of determinants, inverses, and their use in solving linear equations that result from electrical and mechanical-type systems Presents special matrices, linear vector spaces, and fundamental principles of orthogonality, using an appropriate blend of abstract and concrete examples and then discussing associated applications to enhance readers’ visualization of presented concepts Discusses linear operators, eigenvalues, and eigenvectors, and explores their use in matrix diagonalization and singular value decomposition Extends presented concepts to define matrix polynomials and compute functions using several well-known methods, such as Sylvester’s expansion and Cayley-Hamilton Introduces state space analysis and modeling techniques for discrete and continuous linear systems, and explores applications in control and electromechanical systems, to provide a complete solution for the state space equation Shows readers how to solve engineering problems using least square, weighted least square, and total least square techniques Offers a rich selection of exercises and MATLAB® assignments that build a platform to enhance readers’ understanding of the material Striking the appropriate balance between theory and real-life applications, this book provides both advanced students and professionals in the field with a valuable reference that they will continually consult.

Numerical Linear Algebra in Signals, Systems and Control

Author : Paul Van Dooren,Shankar P. Bhattacharyya,Raymond H. Chan,Vadim Olshevsky,Aurobinda Routray
Publisher : Springer Science & Business Media
Page : 481 pages
File Size : 41,5 Mb
Release : 2011-05-21
Category : Technology & Engineering
ISBN : 9789400706026

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Numerical Linear Algebra in Signals, Systems and Control by Paul Van Dooren,Shankar P. Bhattacharyya,Raymond H. Chan,Vadim Olshevsky,Aurobinda Routray Pdf

The purpose of Numerical Linear Algebra in Signals, Systems and Control is to present an interdisciplinary book, blending linear and numerical linear algebra with three major areas of electrical engineering: Signal and Image Processing, and Control Systems and Circuit Theory. Numerical Linear Algebra in Signals, Systems and Control will contain articles, both the state-of-the-art surveys and technical papers, on theory, computations, and applications addressing significant new developments in these areas. The goal of the volume is to provide authoritative and accessible accounts of the fast-paced developments in computational mathematics, scientific computing, and computational engineering methods, applications, and algorithms. The state-of-the-art surveys will benefit, in particular, beginning researchers, graduate students, and those contemplating to start a new direction of research in these areas. A more general goal is to foster effective communications and exchange of information between various scientific and engineering communities with mutual interests in concepts, computations, and workable, reliable practices.

Signal Processing

Author : Charles L. Byrne
Publisher : CRC Press
Page : 436 pages
File Size : 54,7 Mb
Release : 2014-11-12
Category : Computers
ISBN : 9781482241853

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Signal Processing by Charles L. Byrne Pdf

Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment. Assuming an advanced undergraduate- or graduate-level understanding of mathematics-including familiarity with Fourier series, matrices, probab

Matrix Analysis and Applied Linear Algebra

Author : Carl D. Meyer
Publisher : SIAM
Page : 729 pages
File Size : 43,9 Mb
Release : 2000-06-01
Category : Mathematics
ISBN : 9780898714548

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Matrix Analysis and Applied Linear Algebra by Carl D. Meyer Pdf

This book avoids the traditional definition-theorem-proof format; instead a fresh approach introduces a variety of problems and examples all in a clear and informal style. The in-depth focus on applications separates this book from others, and helps students to see how linear algebra can be applied to real-life situations. Some of the more contemporary topics of applied linear algebra are included here which are not normally found in undergraduate textbooks. Theoretical developments are always accompanied with detailed examples, and each section ends with a number of exercises from which students can gain further insight. Moreover, the inclusion of historical information provides personal insights into the mathematicians who developed this subject. The textbook contains numerous examples and exercises, historical notes, and comments on numerical performance and the possible pitfalls of algorithms. Solutions to all of the exercises are provided, as well as a CD-ROM containing a searchable copy of the textbook.

Introduction to Applied Linear Algebra

Author : Stephen Boyd,Lieven Vandenberghe
Publisher : Cambridge University Press
Page : 477 pages
File Size : 48,6 Mb
Release : 2018-06-07
Category : Business & Economics
ISBN : 9781316518960

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Introduction to Applied Linear Algebra by Stephen Boyd,Lieven Vandenberghe Pdf

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

Linear Algebra and Learning from Data

Author : Gilbert Strang
Publisher : Wellesley-Cambridge Press
Page : 0 pages
File Size : 42,6 Mb
Release : 2019-01-31
Category : Computers
ISBN : 0692196382

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Linear Algebra and Learning from Data by Gilbert Strang Pdf

Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Introduction to Graph Signal Processing

Author : Antonio Ortega
Publisher : Cambridge University Press
Page : 128 pages
File Size : 53,6 Mb
Release : 2022-06-09
Category : Technology & Engineering
ISBN : 9781108640176

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Introduction to Graph Signal Processing by Antonio Ortega Pdf

An intuitive and accessible text explaining the fundamentals and applications of graph signal processing. Requiring only an elementary understanding of linear algebra, it covers both basic and advanced topics, including node domain processing, graph signal frequency, sampling, and graph signal representations, as well as how to choose a graph. Understand the basic insights behind key concepts and learn how graphs can be associated to a range of specific applications across physical, biological and social networks, distributed sensor networks, image and video processing, and machine learning. With numerous exercises and Matlab examples to help put knowledge into practice, and a solutions manual available online for instructors, this unique text is essential reading for graduate and senior undergraduate students taking courses on graph signal processing, signal processing, information processing, and data analysis, as well as researchers and industry professionals.

Discrete Fourier And Wavelet Transforms: An Introduction Through Linear Algebra With Applications To Signal Processing

Author : Roe W Goodman
Publisher : World Scientific Publishing Company
Page : 300 pages
File Size : 41,7 Mb
Release : 2016-01-21
Category : Mathematics
ISBN : 9789814725798

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Discrete Fourier And Wavelet Transforms: An Introduction Through Linear Algebra With Applications To Signal Processing by Roe W Goodman Pdf

This textbook for undergraduate mathematics, science, and engineering students introduces the theory and applications of discrete Fourier and wavelet transforms using elementary linear algebra, without assuming prior knowledge of signal processing or advanced analysis.It explains how to use the Fourier matrix to extract frequency information from a digital signal and how to use circulant matrices to emphasize selected frequency ranges. It introduces discrete wavelet transforms for digital signals through the lifting method and illustrates through examples and computer explorations how these transforms are used in signal and image processing. Then the general theory of discrete wavelet transforms is developed via the matrix algebra of two-channel filter banks. Finally, wavelet transforms for analog signals are constructed based on filter bank results already presented, and the mathematical framework of multiresolution analysis is examined.

Signal Processing for Neuroscientists

Author : Wim van Drongelen
Publisher : Elsevier
Page : 320 pages
File Size : 42,5 Mb
Release : 2006-12-18
Category : Science
ISBN : 008046775X

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Signal Processing for Neuroscientists by Wim van Drongelen Pdf

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®. Multiple color illustrations are integrated in the text Includes an introduction to biomedical signals, noise characteristics, and recording techniques Basics and background for more advanced topics can be found in extensive notes and appendices A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670

Linear Algebra for Large Scale and Real-Time Applications

Author : M.S. Moonen,Gene H. Golub,B.L. de Moor
Publisher : Springer Science & Business Media
Page : 434 pages
File Size : 47,6 Mb
Release : 2013-11-09
Category : Mathematics
ISBN : 9789401581967

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Linear Algebra for Large Scale and Real-Time Applications by M.S. Moonen,Gene H. Golub,B.L. de Moor Pdf

Proceedings of the NATO Advanced Study Institute, Leuven, Belgium, August 3-14, 1992