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出版商:
Springer
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出版日期:
2026-02-17
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售價:
$6,430
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貴賓價:
9.8 折
$6,301
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語言:
英文
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頁數:
701
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裝訂:
Hardcover - also called cloth, retail trade, or trade
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ISBN:
3031974085
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ISBN-13:
9783031974083
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相關分類:
機率統計學 Probability-and-statistics
商品描述
Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are employed in schemes that lead to the successful estimation of unknown signal-/system-model parameters or states. The third edition is a substantially expanded treatment that benefits from new work performed in nonlinear robust estimation and features:
new chapters related to the use of nonlinear filtering as an alternative to extended and linearized Kalman filtering and novel practical examples related to video-based object tracking and radar-based target tracking for following maneuvers.
Many examples are used to illustrate key concepts in an intuitive fashion and readers are shown how to write software implementations of estimators. Experiments and simulations are performed using MATLAB(R) to help readers to understand the main theoretical concepts. The book will help professionals and students studying high-order dynamic systems with random inputs. It will be of use to readers working with or studying problems in wireless communications, networking, electronics, photonics, power systems, robotics and mechatronics.
商品描述(中文翻譯)
《隨機信號、系統與估計理論基礎》（第三版）解釋了隨機信號和線性隨機系統建模與分析的基本概念。兩種流行的隨機模型：多項式（或傳遞函數）模型和狀態空間模型，應用於成功估計未知信號/系統模型參數或狀態的方案中。第三版是一次大幅擴展的處理，受益於在非線性穩健估計方面的新研究，並具有以下特點：
- 新增與使用非線性過濾作為擴展和線性化卡爾曼過濾替代方案相關的章節
- 與基於視頻的物體追蹤和基於雷達的目標追蹤相關的新穎實用範例，以跟隨動作
許多範例用於直觀地說明關鍵概念，並向讀者展示如何編寫估計器的軟體實現。使用 MATLAB(R) 進行實驗和模擬，以幫助讀者理解主要的理論概念。
本書將幫助專業人士和學生研究具有隨機輸入的高階動態系統。對於從事或研究無線通信、網絡、電子學、光子學、電力系統、機器人技術和機電一體化問題的讀者將會有所幫助。
作者簡介
Branko Kovačevic is a Senior Member of the IEEE; he received the Ph.D. degree from the University of Belgrade, Belgrade, Serbia, in 1984. In 1981, he joined the Faculty of Electrical Engineering, University of Belgrade, where he is currently Professor Emeritus. He is the author of eight books and more than 80 articles in scientific journals. His current research interests include robust estimation, system identification, adaptive and nonlinear filtering, optimal and adaptive control, and digital signal processing. He is a Member of the EURASIP, the WSAES, and the National Association ETRAN and a Corresponding Member of the Academy of Engineering Sciences of Serbia. He was the Recipient of the Outstanding Research Prize of the Institute of Applied Mathematics and Electronics, the Prize of the Serbian Association for Informatics, and the Prize of the Association of Radio Systems Engineers. He is Reviewer of IEEE Transactions on Automatic Control, the IFAC journal Automatica, and Signal Processing. Zeljko Đurovic received his Ph.D. degree from the Faculty of Electrical Engineering, University of Belgrade, Yugoslavia, in 1994. His M.Sc. was from the field of multiple target tracking (supervised by Prof. Srđan Stankovic), while his Ph.D. was from the field of estimation theory and supervised by Prof. Branko Kovačevic.
作者簡介(中文翻譯)
Branko Kovačevic 是 IEEE 的資深會員；他於1984年在塞爾維亞貝爾格萊德大學獲得博士學位。1981年，他加入貝爾格萊德大學電機工程學院，目前擔任名譽教授。他是八本書籍的作者，並在科學期刊上發表了超過80篇文章。他目前的研究興趣包括穩健估計、系統識別、自適應與非線性濾波、最優與自適應控制，以及數位信號處理。他是 EURASIP、WSAES 和全國協會 ETRAN 的會員，並且是塞爾維亞工程科學院的通訊會員。他曾獲得應用數學與電子學研究所的傑出研究獎、塞爾維亞資訊學會的獎項，以及無線電系統工程師協會的獎項。他是 IEEE 自動控制學報、IFAC 期刊 Automatica 和 信號處理 的審稿人。 Zeljko Đurovic 於1994年在南斯拉夫貝爾格萊德大學電機工程學院獲得博士學位。他的碩士學位專注於多目標追蹤（由 Srđan Stankovic 教授指導），而他的博士學位則專注於估計理論，並由 Branko Kovačevic 教授指導。
