Signal Processing: A Mathematical Approach, Second Edition
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
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Signal Processing: A Mathematical Approach, Second Edition
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
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Signal Processing: A Mathematical Approach, Second Edition

Signal Processing: A Mathematical Approach, Second Edition

by Charles L. Byrne
Signal Processing: A Mathematical Approach, Second Edition

Signal Processing: A Mathematical Approach, Second Edition

by Charles L. Byrne

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Overview

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

Product Details

ISBN-13: 9781040071212
Publisher: CRC Press
Publication date: 11/12/2014
Series: Chapman & Hall/CRC Monographs and Research Notes in Mathematics
Sold by: Barnes & Noble
Format: eBook
Pages: 439
File size: 3 MB

Table of Contents

Introduction. Fourier Series and Fourier Transforms. Remote Sensing. Finite-Parameter Models. Transmission and Remote Sensing. The Fourier Transform and Convolution Filtering. Infinite Sequences and Discrete Filters. Convolution and the Vector DFT. Plane-Wave Propagation. The Phase Problem. Transmission Tomography. Random Sequences. Nonlinear Methods. Discrete Entropy Maximization. Analysis and Synthesis. Wavelets. The BLUE and the Kalman Filter. Signal Detection and Estimation. Appendices.
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