一般化測度空間における信号処理の基礎:アルゴリズムと応用<br>Fundamentals of Signal Processing in Generalized Metric Spaces : Algorithms and Applications

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一般化測度空間における信号処理の基礎:アルゴリズムと応用
Fundamentals of Signal Processing in Generalized Metric Spaces : Algorithms and Applications

  • 著者名:Popoff, Andrey
  • 価格 ¥12,049 (本体¥10,954)
  • CRC Press(2022/04/19発売)
  • ポイント 109pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9781032231259
  • eISBN:9781000572001

ファイル: /

Description

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.

Table of Contents

1. Introduction to Signal Processing on L-groups. 2. Estimation of Signal Parameters in Sample Spaces with L-group. Properties. 3. Signal Filtering Algorithms in Spaces with L–group Properties. 4. Signal Detection, Classification, and Resolution in Spaces with L–group. Properties. 5. Spectral estimation and Spectral analysis on L-groups. 6. Antenna Array Signal Processing Based on L–group Operations. 7. Signal Processing L-group Algorithms for Communication Systems and Networks. 8. Wavelets on L-groups.

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