Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development (Hardcover)(美國原版)
暫譯: 統計信號處理基礎，第三卷：實用演算法開發 (精裝版)

Steven M. Kay

Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development (Hardcover)(美國原版)

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商品描述

The Complete, Modern Guide to Developing Well-Performing Signal Processing Algorithms

 

In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kay’s three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here, Kay helps readers develop strong intuition and expertise in designing well-performing algorithms that solve real-world problems.

 

Kay begins by reviewing methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. He links concepts to practice by presenting useful analytical results and implementations for design, evaluation, and testing. Next, he highlights specific algorithms that have “stood the test of time,” offers realistic examples from several key application areas, and introduces useful extensions. Finally, he guides readers through translating mathematical algorithms into MATLAB® code and verifying solutions.

 

Topics covered include

  • Step by step approach to the design of algorithms
  • Comparing and choosing signal and noise models
  • Performance evaluation, metrics, tradeoffs, testing, and documentation
  • Optimal approaches using the “big theorems”
  • Algorithms for estimation, detection, and spectral estimation
  • Complete case studies: Radar Doppler center frequency estimation, magnetic signal detection, and heart rate monitoring

 

Exercises are presented throughout, with full solutions, and executable MATLAB code that implements all the algorithms, is provided on the accompanying CD.

 

This new volume is invaluable to engineers, scientists, and advanced students in every discipline that relies on signal processing; researchers will especially appreciate its timely overview of the state of the practical art. Volume III complements Dr. Kay’s Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (Prentice Hall, 1993; ISBN-13: 978-0-13-345711-7), and Volume II: Detection Theory (Prentice Hall, 1998; ISBN-13: 978-0-13-504135-2).

商品描述(中文翻譯)

現代信號處理演算法開發的完整指南

 

在統計信號處理基礎，第三卷：實用演算法開發一書中，作者 Steven M. Kay 展示了如何將統計信號處理估計和檢測的理論轉換為可以在數位計算機上實現的軟體演算法。這是 Kay 三卷指南的最後一卷，建立在前兩卷的全面理論覆蓋之上。在這裡，Kay 幫助讀者培養設計高效能演算法的直覺和專業知識，以解決現實世界中的問題。

 

Kay 首先回顧了開發信號處理演算法的方法論，包括數學建模、計算機模擬和性能評估。他通過提供有用的分析結果和設計、評估及測試的實現，將概念與實踐聯繫起來。接下來，他強調了一些“經得起時間考驗”的特定演算法，提供來自幾個關鍵應用領域的現實例子，並介紹有用的擴展。最後，他指導讀者如何將數學演算法轉換為 MATLAB® 代碼並驗證解決方案。

 

涵蓋的主題包括


  • 演算法設計的逐步方法

  • 比較和選擇信號與噪聲模型

  • 性能評估、指標、權衡、測試和文檔

  • 使用“大定理”的最佳方法

  • 估計、檢測和頻譜估計的演算法

  • 完整的案例研究：雷達多普勒中心頻率估計、磁信號檢測和心率監測

 

書中隨處提供練習題，並附有完整解答，以及實現所有演算法的可執行 MATLAB 代碼，這些代碼可在隨附的 CD 中找到。

 

這本新書對於每個依賴信號處理的工程師、科學家和高級學生來說都是無價的；研究人員尤其會欣賞其對實用藝術現狀的及時概述。第三卷補充了 Dr. Kay 的統計信號處理基礎，第一卷：估計理論（Prentice Hall, 1993; ISBN-13: 978-0-13-345711-7）和第二卷：檢測理論（Prentice Hall, 1998; ISBN-13: 978-0-13-504135-2）。

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