Efficient Online Learning Algorithms for Total Least Square Problems
暫譯: 總最小平方問題的高效線上學習演算法

Kong, Xiangyu, Feng, Dazheng

  • 出版商: Springer
  • 出版日期: 2025-07-19
  • 售價: $6,370
  • 貴賓價: 9.5$6,052
  • 語言: 英文
  • 頁數: 269
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819717671
  • ISBN-13: 9789819717675
  • 相關分類: 數值分析 Numerical-analysis
  • 海外代購書籍(需單獨結帳)

商品描述

This book reports the developments of the Total Least Square (TLS) algorithms for parameter estimation and adaptive filtering. Specifically, it introduces the authors' latest achievements in the past 20 years, including the recursive TLS algorithms, the approximate inverse power iteration TLS algorithm, the neural based MCA algorithm, the neural based SVD algorithm, the neural based TLS algorithm, the TLS algorithms under non-Gaussian noises, performance analysis methods of TLS algorithms, etc. In order to faster the understanding and mastering of the new methods provided in this book for readers, before presenting each new method in each chapter, a specialized section is provided to review the closely related several basis models. Throughout the book, large of procedure of new methods are provided, and all new algorithms or methods proposed by us are tested and verified by numerical simulations or actual engineering applications. Readers will find illustrative demonstration examples on a range of industrial processes to study. Readers will find out the present deficiency and recent developments of the TLS parameter estimation fields, and learn from the the authors' latest achievements or new methods around the practical industrial needs. In my opinion, this book can be assimilated by advanced undergraduates and graduate students, as well as statisticians, because of the new tools in data analysis, applied mathematics experts, because of the novel theories and techniques that we propose, engineers, above all for the applications in control, system identification, computer vision, and signal processing.

商品描述(中文翻譯)

本書報告了總最小平方(Total Least Square, TLS)演算法在參數估計和自適應濾波方面的發展。具體而言,它介紹了作者在過去20年中的最新成就,包括遞迴TLS演算法、近似逆幂迭代TLS演算法、基於神經網絡的MCA演算法、基於神經網絡的SVD演算法、基於神經網絡的TLS演算法、在非高斯噪聲下的TLS演算法、TLS演算法的性能分析方法等。為了加快讀者對本書中提供的新方法的理解和掌握,在每章介紹每個新方法之前,提供了一個專門的部分來回顧幾個密切相關的基礎模型。整本書提供了大量新方法的程序,所有我們提出的新演算法或方法均經過數值模擬或實際工程應用的測試和驗證。讀者將會發現一系列工業過程的示範例子以供學習。讀者將了解TLS參數估計領域的當前不足和最近發展,並從作者在實際工業需求方面的最新成就或新方法中學習。在我看來,本書適合高年級本科生和研究生,以及統計學家,因為它提供了數據分析的新工具,應用數學專家,因為我們提出了新穎的理論和技術,工程師,尤其是在控制、系統識別、計算機視覺和信號處理等應用方面。

作者簡介

Xiangyu Kong was born in May 1967. He received the B.S. degree in optical engineering from Beijing Institute of Technology, P. R. China, in 1990, the M.S. degree in mechanical and electrical engineering from Xi'an Institute of Hi-Tech, in 2000, and the Ph.D. degree in automation science and engineering from Xi'an Jiaotong University, P. R. China, in 2005. He is currently a professor in the Department of Control Engineering of Xi'an Institute of Hi-Tech. His research interests include adaptive signal processing, neural networks and feature extraction, process monitoring, and fault diagnosis. He has published seven monographs (all as first author), including two English monographs published by Springer, and more than 150 papers, in which more than 40 articles were published in premier journals including IEEE Transactions on Signal Processing, IEEE Transactions on Neural Networks and Learning Systems, and Neural Networks. He has been PIs of four grants from the National Natural Science Foundation of China.
Da-Zheng Feng was born in December 1959. He received the Diploma degree from Xi'an University of Technology, Xi'an, China, in 1982, the M.S. degree from Xi'an Jiaotong University, Xi'an, China, in 1986, and the Ph.D. degree in electronic engineering from Xidian University, Xi'an, China, in 1995. From May 1996 to May 1998, he was a Postdoctoral Research Affiliate and an Associate Professor with Xi'an Jiaotong University, China. From May 1998 to June 2000, he was an Associate Professor with Xidian University. Since July 2000, he has been a Professor at Xidian University. His current research interests include signal processing, intelligence and brain information processing, and InSAR. He has published more than 150 journal papers, in which more than 60 articles were published in premier journal including IEEE Transactions on Signal Processing, IEEE Transactions on Neural Networks and Learning Systems, and Neural Networks. He has been Principle Investigator of six grants from the National Natural Science Foundation of China.

作者簡介(中文翻譯)

孔相宇於1967年5月出生。他於1990年獲得中國北京理工大學光學工程學士學位,於2000年獲得西安高科技大學機械與電子工程碩士學位,並於2005年獲得中國西安交通大學自動化科學與工程博士學位。他目前是西安高科技大學控制工程系的教授。他的研究興趣包括自適應信號處理、神經網絡與特徵提取、過程監控和故障診斷。他已發表七部專著(均為第一作者),其中包括兩部由Springer出版的英文專著,以及超過150篇論文,其中超過40篇發表在頂尖期刊,包括《IEEE信號處理學報》、《IEEE神經網絡與學習系統學報》和《神經網絡》。他曾擔任四項來自中國國家自然科學基金的主要研究者。

馮大正於1959年12月出生。他於1982年獲得中國西安理工大學的文憑,於1986年獲得中國西安交通大學的碩士學位,並於1995年獲得中國西安電子科技大學的電子工程博士學位。從1996年5月到1998年5月,他擔任西安交通大學的博士後研究員和副教授。從1998年5月到2000年6月,他擔任西安電子科技大學的副教授。自2000年7月以來,他一直是西安電子科技大學的教授。他目前的研究興趣包括信號處理、智能與大腦信息處理以及合成孔徑雷達(InSAR)。他已發表超過150篇期刊論文,其中超過60篇發表在頂尖期刊,包括《IEEE信號處理學報》、《IEEE神經網絡與學習系統學報》和《神經網絡》。他曾擔任六項來自中國國家自然科學基金的主要研究者。

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