Signal Processing and Machine Learning with Applications
暫譯: 信號處理與機器學習應用

作者提供了一本全面的指南，介紹機器學習在信號處理和識別問題上的應用，並討論在語音處理和生物醫學信號處理等領域的實際應用，重點在於如何處理噪聲。本教科書適合計算機科學和工程的高年級本科生及研究生使用。

Prof. Michael M. Richter completed his PhD on mathematical logic at the University of Freiburg, and his Habilitation in mathematics at the University of Tübingen. He taught at the University of Texas at Austin and at RWTH Aachen, in addition to numerous visiting professorships. Most recently he held a chair in computer science at the University of Kaiserslautern, where he was also the founding scientific director of the DFKI (German Research Center for Artificial Intelligence). He is currently an adjunct professor at the University of Calgary. He has taught, researched, and published extensively in the areas of mathematical logic and artificial intelligence. Prof. Richter is one of the pioneers of case-based reasoning: he founded the leading European event on the subject, he led many of the key academic research projects, and he demonstrated the real-world viability of the approach with successful commercial products.

Dr. Sheuli Paul completed her PhD on a dynamic automatic noisy speech recognition system in Kaiserslautern. Her interests include speech recognition and signal processing.

教授邁克爾·M·里希特（Prof. Michael M. Richter）在弗賴堡大學（University of Freiburg）完成了數學邏輯的博士學位，並在圖賓根大學（University of Tübingen）獲得數學的Habilitation。他曾在德克薩斯大學奧斯汀分校（University of Texas at Austin）和亞琛工業大學（RWTH Aachen）任教，並擔任過多個訪問教授職位。最近，他在凱瑟斯勞滕大學（University of Kaiserslautern）擔任計算機科學的教授，並且是德國人工智慧研究中心（DFKI, German Research Center for Artificial Intelligence）的創始科學主任。他目前是卡爾加里大學（University of Calgary）的兼任教授。他在數學邏輯和人工智慧領域進行了廣泛的教學、研究和出版工作。里希特教授是基於案例推理（case-based reasoning）的先驅之一：他創辦了該主題的歐洲主要活動，領導了許多關鍵的學術研究項目，並通過成功的商業產品展示了該方法在現實世界中的可行性。

保爾·謝烏利博士（Dr. Sheuli Paul）在凱瑟斯勞滕完成了動態自動噪音語音識別系統的博士學位。她的研究興趣包括語音識別和信號處理。