Advanced Digital Signal Processing Methods for Filtering, Identification, and Nonlinear Systems Control
暫譯: 高級數位信號處理方法：濾波、識別與非線性系統控制

Pupeikis, Rimantas, Kazlauskas, Kazys

Advanced Digital Signal Processing Methods for Filtering, Identification, and Nonlinear Systems Control
  • 出版商: Springer
  • 出版日期: 2026-01-03
  • 售價: $6,560
  • 貴賓價: 9.5 折 $6,232
  • 語言: 英文
  • 頁數: 163
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032067391
  • ISBN-13: 9783032067395
  • 相關分類: 數位訊號處理 Dsp

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book presents a general approach to block and recursive filtering, identification, and control, using signal observations processing techniques, and among others provides to the reader these results:

The new version of least square algorithm that is speeded up without changing its adaptive characteristics, increasing the parallelism in algorithm.

The efficient lower triangular inverse matrix and the input signal covariance matrix computation method.

The original bias correction approach that is used to eliminate the parameter estimation bias of an iterative autoregressive system parameter estimation algorithm in the presence of additive white noise.

The discovery that nonlinear Volterra, polynomial autoregressive and bilinear systems have the same layered implementation routine, which allows us using the layered structure, the order of nonlinearity increased/decreased by adding/deleting more layers to/from the structure.

The proven statement that the modular layered structures admit the very large scale integration implementation of the polynomial nonlinear filters.

The book is aimed at three major groups of readers: senior undergraduate students, graduate students, and scientific research workers in electrical engineering, computer engineering, computer science, and digital control.

商品描述(中文翻譯)

本書提出了一種針對區塊和遞迴濾波、識別和控制的一般方法，使用信號觀測處理技術，並向讀者提供以下結果：

新的最小平方算法版本，經過加速而不改變其自適應特性，增加了算法的並行性。

有效的下三角逆矩陣和輸入信號協方差矩陣計算方法。

原始的偏差修正方法，用於消除在存在加性白噪聲的情況下，迭代自回歸系統參數估計算法的參數估計偏差。

發現非線性Volterra、幾次多項式自回歸和雙線性系統具有相同的分層實現例程，這使我們能夠使用分層結構，通過添加或刪除更多層來增加或減少非線性階數。

已證明的聲明，模組化分層結構允許多項式非線性濾波器的超大規模集成實現。

本書的目標讀者為三大主要群體：高年級本科生、研究生以及電機工程、計算機工程、計算機科學和數位控制領域的科研工作者。

作者簡介

In 1967, K. Kazlauskas finished Kaunas Polytechnical Institute (now Kaunas Technological University (KTU)) (Engineer of Technical Cybernetics). In 1973 at KTU, K. Kazlauskas defended PhD thesis (Cybernetics and Information Theory). In 1980 according the decision of Presidium of USSR Sciences, K. Kazlauskas was granted by the Senior Scientific Worker certificate in the field of Technical Cybernetics and Information Theory. In 1999 at Vytautas Magnus University (Kaunas) and Institute of Mathematics and Informatics (Vilnius), K. Kazlauskas defended Dr. Habilitus thesis ( Physical Sciences, Informatics). From 2000s according the decision of Vytautas Magnus University, K. Kazlauskas is a full professor (Physical Sciences, Informatics). K. Kazlauskas was a chief researcher and head of the group of Technological Processes Control at Institute of Mathematics and Informatics (1994-2015) and professor of Department of Informatics at Lithuanian University of Educology (2000-2017).

Rimantas Pupeikis finished Vilnius branch of Kaunas Politechnical Institute (now Kaunas Technological University (KTU)) in 1969s. He got a speciality of mechanization and automation of machines manufacture and acquired engineer's electromechanic's degree as well. In 1969s, R.Pupeikis, as junior scientific worker, began the scientific activity in the laboratory of adaptive systems of Institute of Energetics in Kaunas. In 1979s in KTU scientific board meeting, he defended his PhD thesis in Cybernetics and Information theory. In 1994s, he prepared the Doctor Habilitus thesis in Informatics. However, the governing body of Department of Informatics of Vytautas Magnum University (VDU) in Kaunas gave rise to his dissertation requirements that were not tuned up with official ones published by Lithuanian Sciences Council. Nevertheless, the dissertation left not defended because of absence of an official support.

作者簡介(中文翻譯)

在1967年，K. Kazlauskas 完成了考那斯工業學院（現為考那斯科技大學 (KTU)）的學業，獲得技術控制論工程師學位。1973年，K. Kazlauskas 在 KTU 辯護了他的博士論文（控制論與信息理論）。1980年，根據蘇聯科學院主席團的決定，K. Kazlauskas 獲得了技術控制論和信息理論領域的高級科學工作者證書。1999年，K. Kazlauskas 在維陶塔斯大帝大學（考那斯）和維爾紐斯數學與信息學研究所辯護了他的博士後論文（物理科學，信息學）。自2000年代起，根據維陶塔斯大帝大學的決定，K. Kazlauskas 成為全職教授（物理科學，信息學）。K. Kazlauskas 曾擔任數學與信息學研究所技術過程控制小組的首席研究員和負責人（1994-2015），並在立陶宛教育大學的資訊學系擔任教授（2000-2017）。

Rimantas Pupeikis 在1960年代完成了考那斯工業學院（現為考那斯科技大學 (KTU)）的維爾紐斯分校學業。他獲得了機械製造的機械化和自動化專業，並取得了電機工程師學位。1960年代，R. Pupeikis 作為初級科研工作者，開始在考那斯的能源研究所自適應系統實驗室進行科學活動。1970年代，在 KTU 科學委員會會議上，他辯護了他的博士論文，主題為控制論與信息理論。1994年，他準備了信息學的博士後論文。然而，維陶塔斯大帝大學（VDU）資訊學系的管理機構對他的論文要求提出了與立陶宛科學委員會發布的官方要求不符的意見。儘管如此，由於缺乏官方支持，該論文未能辯護。

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