Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development (IE-Paperback)

Steven Kay

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商品描述

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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.

商品描述(中文翻譯)

在《統計信號處理基礎,第三卷:實用算法開發》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化為可以在數字計算機上實現的軟件算法。這本Kay的三卷指南的最後一卷在前兩卷的全面理論涵蓋的基礎上進一步發展。在這裡,Kay幫助讀者培養設計高效算法以解決現實問題的強大直覺和專業知識。

Kay首先回顧了開發信號處理算法的方法論,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、評估和測試的實現來將概念與實踐相結合。接下來,他突出了一些經得起時間考驗的具體算法,提供了幾個關鍵應用領域的實際例子,並介紹了有用的擴展。最後,他指導讀者將數學算法轉化為MATLAB®代碼並驗證解決方案。