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

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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Bibliographic Details
Superior document:Monographs and research notes in mathematics
VerfasserIn:
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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245 1 0 |a Signal processing :  |b a mathematical approach /  |c Charles L. Byrne, University of Massachusetts Lowell, Lowell, Massachusetts, USA. 
250 |a 2nd ed. 
264 1 |a Boca Raton :  |b CRC Press, Taylor & Francis Group,  |c [2015] 
264 4 |c ©2015 
300 |a 1 online resource (436 p.) 
336 |a text  |b txt 
337 |a computer  |b c 
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490 1 |a Monographs and research notes in mathematics 
505 0 |a 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 
505 8 |a 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 
520 |a 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 
546 |a English 
504 |a Includes bibliographical references and index. 
588 |a Description based on print version record. 
540 |f CC BY-NC-ND 
500 |a A Chapman and Hall book. 
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