Signal processing : : a mathematical approach /

Signal processing : : a mathematical approach / / Charles L. Byrne, University of Massachusetts Lowell, Lowell, Massachusetts, USA.

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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...

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Superior document:Monographs and research notes in mathematics
VerfasserIn:
Byrne, Charles L., 1947,
Place / Publishing House:Boca Raton : : CRC Press, Taylor & Francis Group,, [2015]
©2015
Year of Publication:2015
Edition:2nd ed.
Language:English
Series:Monographs and research notes in mathematics.
Physical Description:1 online resource (436 p.)
Notes:A Chapman and Hall book.
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spelling Byrne, Charles L., 1947, author.
Signal processing : a mathematical approach / Charles L. Byrne, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
2nd ed.
Boca Raton : CRC Press, Taylor & Francis Group, [2015]
©2015
1 online resource (436 p.)
text txt
computer c
online resource cr
Monographs and research notes in mathematics
Front Cover; Signal Processing: A Mathematical Approach, Second Edition; MONOGRAPHS AND RESEARCH NOTES IN MATHEMATICS; Dedication; Contents; Preface; Chapter 1 Introduction; Chapter 2 Fourier Series and Fourier Transforms; Chapter 3 Remote Sensing; Chapter 4 Finite-Parameter Models; Chapter 5 Transmission and Remote Sensing; Chapter 6 The Fourier Transform and Convolution Filtering; Chapter 7 Infinite Sequences and Discrete Filters; Chapter 8 Convolution and the Vector DFT; Chapter 9 Plane-Wave Propagation; Chapter 10 The Phase Problem; Chapter 11 Transmission Tomography
Chapter 12 Random SequencesChapter 13 Nonlinear Methods; Chapter 14 Discrete Entropy Maximization; Chapter 15 Analysis and Synthesis; Chapter 16 Wavelets; Chapter 17 The BLUE and the Kalman Filter; Chapter 18 Signal Detection and Estimation; Chapter 19 Inner Products; Chapter 20 Wiener Filtering; Chapter 21 Matrix Theory; Chapter 22 Compressed Sensing; Chapter 23 Probability; Chapter 24 Using the Wave Equation; Chapter 25 Reconstruction in Hilbert Space; Chapter 26 Some Theory of Fourier Analysis; Chapter 27 Reverberation and Echo Cancellation; Bibliography; Back Cover
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, probability, and statistics-this Second Edition: Contains new chapters on convolution and the vector DFT, plane-wave propagation, and the BLUE and Kalman filtersExpands the material on Fourier analysis to three new chapters to provide additional background
English
Includes bibliographical references and index.
Description based on print version record.
CC BY-NC-ND
A Chapman and Hall book.
Signal processing Mathematics.
1-4398-6567-1
1-322-63845-4
1-4822-4184-6
Monographs and research notes in mathematics.
language English
format eBook
author Byrne, Charles L., 1947,
spellingShingle Byrne, Charles L., 1947,
Signal processing : a mathematical approach /
Monographs and research notes in mathematics
Front Cover; Signal Processing: A Mathematical Approach, Second Edition; MONOGRAPHS AND RESEARCH NOTES IN MATHEMATICS; Dedication; Contents; Preface; Chapter 1 Introduction; Chapter 2 Fourier Series and Fourier Transforms; Chapter 3 Remote Sensing; Chapter 4 Finite-Parameter Models; Chapter 5 Transmission and Remote Sensing; Chapter 6 The Fourier Transform and Convolution Filtering; Chapter 7 Infinite Sequences and Discrete Filters; Chapter 8 Convolution and the Vector DFT; Chapter 9 Plane-Wave Propagation; Chapter 10 The Phase Problem; Chapter 11 Transmission Tomography
Chapter 12 Random SequencesChapter 13 Nonlinear Methods; Chapter 14 Discrete Entropy Maximization; Chapter 15 Analysis and Synthesis; Chapter 16 Wavelets; Chapter 17 The BLUE and the Kalman Filter; Chapter 18 Signal Detection and Estimation; Chapter 19 Inner Products; Chapter 20 Wiener Filtering; Chapter 21 Matrix Theory; Chapter 22 Compressed Sensing; Chapter 23 Probability; Chapter 24 Using the Wave Equation; Chapter 25 Reconstruction in Hilbert Space; Chapter 26 Some Theory of Fourier Analysis; Chapter 27 Reverberation and Echo Cancellation; Bibliography; Back Cover
author_facet Byrne, Charles L., 1947,
author_variant c l b cl clb
author_role VerfasserIn
author_sort Byrne, Charles L., 1947,
title Signal processing : a mathematical approach /
title_sub a mathematical approach /
title_full Signal processing : a mathematical approach / Charles L. Byrne, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
title_fullStr Signal processing : a mathematical approach / Charles L. Byrne, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
title_full_unstemmed Signal processing : a mathematical approach / Charles L. Byrne, University of Massachusetts Lowell, Lowell, Massachusetts, USA.
title_auth Signal processing : a mathematical approach /
title_new Signal processing :
title_sort signal processing : a mathematical approach /
series Monographs and research notes in mathematics
series2 Monographs and research notes in mathematics
publisher CRC Press, Taylor & Francis Group,
publishDate 2015
physical 1 online resource (436 p.)
edition 2nd ed.
contents Front Cover; Signal Processing: A Mathematical Approach, Second Edition; MONOGRAPHS AND RESEARCH NOTES IN MATHEMATICS; Dedication; Contents; Preface; Chapter 1 Introduction; Chapter 2 Fourier Series and Fourier Transforms; Chapter 3 Remote Sensing; Chapter 4 Finite-Parameter Models; Chapter 5 Transmission and Remote Sensing; Chapter 6 The Fourier Transform and Convolution Filtering; Chapter 7 Infinite Sequences and Discrete Filters; Chapter 8 Convolution and the Vector DFT; Chapter 9 Plane-Wave Propagation; Chapter 10 The Phase Problem; Chapter 11 Transmission Tomography
Chapter 12 Random SequencesChapter 13 Nonlinear Methods; Chapter 14 Discrete Entropy Maximization; Chapter 15 Analysis and Synthesis; Chapter 16 Wavelets; Chapter 17 The BLUE and the Kalman Filter; Chapter 18 Signal Detection and Estimation; Chapter 19 Inner Products; Chapter 20 Wiener Filtering; Chapter 21 Matrix Theory; Chapter 22 Compressed Sensing; Chapter 23 Probability; Chapter 24 Using the Wave Equation; Chapter 25 Reconstruction in Hilbert Space; Chapter 26 Some Theory of Fourier Analysis; Chapter 27 Reverberation and Echo Cancellation; Bibliography; Back Cover
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callnumber-first T - Technology
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callnumber-sort TK 45102.9 B96 42015
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dewey-hundreds 600 - Technology
dewey-tens 620 - Engineering
dewey-ones 621 - Applied physics
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dewey-sort 3621.38220151
dewey-raw 621.38220151
dewey-search 621.38220151
oclc_num 894169875
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