Mathematical Methods And Algorithms For Signal Processing Paperback


Mathematical Methods And Algorithms For Signal Processing Paperback
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Mathematical Methods And Algorithms For Signal Processing Paperback


Mathematical Methods And Algorithms For Signal Processing Paperback
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Author : Moon
language : ko
Publisher:
Release Date : 2000-01-01

Mathematical Methods And Algorithms For Signal Processing Paperback written by Moon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01-01 with categories.




Mathematical Methods And Algorithms For Signal Processing


Mathematical Methods And Algorithms For Signal Processing
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Author : Todd K. Moon
language : en
Publisher: Pearson
Release Date : 2000

Mathematical Methods And Algorithms For Signal Processing written by Todd K. Moon and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.


This previously included a CD. The CD contents can be accessed via World Wide Web.



Modern Sampling Theory


Modern Sampling Theory
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Author : John J. Benedetto
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-02-16

Modern Sampling Theory written by John J. Benedetto and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-16 with Mathematics categories.


Sampling is a fundamental topic in the engineering and physical sciences. This new edited book focuses on recent mathematical methods and theoretical developments, as well as some current central applications of the Classical Sampling Theorem. The Classical Sampling Theorem, which originated in the 19th century, is often associated with the names of Shannon, Kotelnikov, and Whittaker; and one of the features of this book is an English translation of the pioneering work in the 1930s by Kotelnikov, a Russian engineer. Following a technical overview and Kotelnikov's article, the book includes a wide and coherent range of mathematical ideas essential for modern sampling techniques. These ideas involve wavelets and frames, complex and abstract harmonic analysis, the Fast Fourier Transform (FFT), and special functions and eigenfunction expansions. Some of the applications addressed are tomography and medical imaging. Topics and features: • Relations between wavelet theory, the uncertainty principle, and sampling • Multidimensional non-uniform sampling theory and algorithms • The analysis of oscillatory behavior through sampling • Sampling techniques in deconvolution • The FFT for non-uniformly distributed data • Filter design and sampling • Sampling of noisy data for signal reconstruction • Finite dimensional models for oversampled filter banks • Sampling problems in MRI. Engineers and mathematicians working in wavelets, signal processing, and harmonic analysis, as well as scientists and engineers working on applications as varied as medical imaging and synthetic aperture radar, will find the book to be a modern and authoritative guide to sampling theory.



Mathematical Methods For Signal And Image Analysis And Representation


Mathematical Methods For Signal And Image Analysis And Representation
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Author : Luc Florack
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-12

Mathematical Methods For Signal And Image Analysis And Representation written by Luc Florack and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-12 with Mathematics categories.


Mathematical Methods for Signal and Image Analysis and Representation presents the mathematical methodology for generic image analysis tasks. In the context of this book an image may be any m-dimensional empirical signal living on an n-dimensional smooth manifold (typically, but not necessarily, a subset of spacetime). The existing literature on image methodology is rather scattered and often limited to either a deterministic or a statistical point of view. In contrast, this book brings together these seemingly different points of view in order to stress their conceptual relations and formal analogies. Furthermore, it does not focus on specific applications, although some are detailed for the sake of illustration, but on the methodological frameworks on which such applications are built, making it an ideal companion for those seeking a rigorous methodological basis for specific algorithms as well as for those interested in the fundamental methodology per se. Covering many topics at the forefront of current research, including anisotropic diffusion filtering of tensor fields, this book will be of particular interest to graduate and postgraduate students and researchers in the fields of computer vision, medical imaging and visual perception.



Mathematical Foundations For Signal Processing Communications And Networking


Mathematical Foundations For Signal Processing Communications And Networking
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Author : Erchin Serpedin
language : en
Publisher: CRC Press
Release Date : 2017-12-04

Mathematical Foundations For Signal Processing Communications And Networking written by Erchin Serpedin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-04 with Computers categories.


Mathematical Foundations for Signal Processing, Communications, and Networking describes mathematical concepts and results important in the design, analysis, and optimization of signal processing algorithms, modern communication systems, and networks. Helping readers master key techniques and comprehend the current research literature, the book offers a comprehensive overview of methods and applications from linear algebra, numerical analysis, statistics, probability, stochastic processes, and optimization. From basic transforms to Monte Carlo simulation to linear programming, the text covers a broad range of mathematical techniques essential to understanding the concepts and results in signal processing, telecommunications, and networking. Along with discussing mathematical theory, each self-contained chapter presents examples that illustrate the use of various mathematical concepts to solve different applications. Each chapter also includes a set of homework exercises and readings for additional study. This text helps readers understand fundamental and advanced results as well as recent research trends in the interrelated fields of signal processing, telecommunications, and networking. It provides all the necessary mathematical background to prepare students for more advanced courses and train specialists working in these areas.



Signal Processing


Signal Processing
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Author : Charles L. Byrne
language : en
Publisher: CRC Press
Release Date : 2014-11-12

Signal Processing written by Charles L. Byrne and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-12 with Computers categories.


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



Fundamentals Of Signal Processing In Generalized Metric Spaces


Fundamentals Of Signal Processing In Generalized Metric Spaces
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Author : Andrey Popoff
language : en
Publisher: CRC Press
Release Date : 2022-04-19

Fundamentals Of Signal Processing In Generalized Metric Spaces written by Andrey Popoff and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-19 with Technology & Engineering categories.


Exploring the interrelations between generalized metric spaces, lattice-ordered groups, and order statistics, the book contains a new algebraic approach to Signal Processing Theory. It describes mathematical concepts and results important in the development, analysis, and optimization of signal processing algorithms intended for various applications. The book offers a solution of large-scale Signal Processing Theory problems of increasing both signal processing efficiency under prior uncertainty conditions and signal processing rate that is provided by multiplication-free signal processing algorithms based on lattice-ordered group operations. From simple basic relationships to computer simulation, the text covers a wide range of new mathematical techniques essential for understanding the proposed signal processing algorithms developed for solving the following problems: signal parameter and spectral estimation, signal filtering, detection, classification, and resolution; array signal processing; demultiplexing and demodulation in multi-channel communication systems and multi-station networks; wavelet analysis of 1D/ 2D signals. Along with discussing mathematical aspects, each chapter presents examples illustrating operation of signal processing algorithms developed for various applications. The book helps readers understand relations between known classic and obtained results as well as recent research trends in Signal Processing Theory and its applications, providing all necessary mathematical background concerning lattice-ordered groups to prepare readers for independent work in the marked directions including more advanced research and development.



Error Correction Coding


Error Correction Coding
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Author : Todd K. Moon
language : en
Publisher: John Wiley & Sons
Release Date : 2020-12-15

Error Correction Coding written by Todd K. Moon and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-15 with Computers categories.


Providing in-depth treatment of error correction Error Correction Coding: Mathematical Methods and Algorithms, 2nd Edition provides a comprehensive introduction to classical and modern methods of error correction. The presentation provides a clear, practical introduction to using a lab-oriented approach. Readers are encouraged to implement the encoding and decoding algorithms with explicit algorithm statements and the mathematics used in error correction, balanced with an algorithmic development on how to actually do the encoding and decoding. Both block and stream (convolutional) codes are discussed, and the mathematics required to understand them are introduced on a "just-in-time" basis as the reader progresses through the book. The second edition increases the impact and reach of the book, updating it to discuss recent important technological advances. New material includes: Extensive coverage of LDPC codes, including a variety of decoding algorithms A comprehensive introduction to polar codes, including systematic encoding/decoding and list decoding An introduction to fountain codes Modern applications to systems such as HDTV, DVBT2, and cell phones Error Correction Coding includes extensive program files (for example, C++ code for all LDPC decoders and polar code decoders), laboratory materials for students to implement algorithms, and an updated solutions manual, all of which are perfect to help the reader understand and retain the content. The book covers classical BCH, Reed Solomon, Golay, Reed Muller, Hamming, and convolutional codes which are still component codes in virtually every modern communication system. There are also fulsome discussions of recently developed polar codes and fountain codes that serve to educate the reader on the newest developments in error correction.



Introduction To Digital Signal Processing Using Matlab With Application To Digital Communications


Introduction To Digital Signal Processing Using Matlab With Application To Digital Communications
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Author : K.S. Thyagarajan
language : en
Publisher: Springer
Release Date : 2018-05-28

Introduction To Digital Signal Processing Using Matlab With Application To Digital Communications written by K.S. Thyagarajan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-28 with Technology & Engineering categories.


This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego.



Advances In Signal Processing And Communication Engineering


Advances In Signal Processing And Communication Engineering
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Author : Pradip Kumar Jain
language : en
Publisher: Springer Nature
Release Date : 2022-12-01

Advances In Signal Processing And Communication Engineering written by Pradip Kumar Jain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-01 with Technology & Engineering categories.


This book comprises select proceedings of the International Conference on Advances in Signal Processing and Communication Engineering (ICASPACE 2021). The book covers several theoretical and mathematical approaches addressing day-to-day challenges in signal, image, and speech processing and advanced communication systems. It primarily focuses on effective mathematical methods, algorithms, and models that enhance the performance of existing systems. The topics covered in the book are advances in signal processing (radar and biomedical), image processing, speech processing, technical and environmental challenges in 5G technology, and strategies for optimal utilization of resources to improve the efficacy of the communication systems in terms of bandwidth and radiating power, etc. The works published in the book will remarkably be helpful to prospective scholars, academicians, and students seeking knowledge in signal processing and communication engineering.