Intelligent Signal Processing
暫譯: 智能信號處理

Haykin

Intelligent Signal Processing
  • 出版商: Wiley
  • 出版日期: 2001-01-15
  • 售價: $8,580
  • 貴賓價: 9.5 折 $8,151
  • 語言: 英文
  • 頁數: 608
  • 裝訂: Hardcover
  • ISBN: 0780360109
  • ISBN-13: 9780780360105

    • 海外代購書籍(需單獨結帳)

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商品描述

Description:

IEEE Press is proud to present the first selected reprint volume devoted to the new field of intelligent signal processing (ISP). ISP differs fundamentally from the classical approach to statistical signal processing in that it models the input-out-put behavior of a complex system by using "intelligent" or "model-free" techniques rather than relying on the shortcomings of a mathematical model. ISP systems extract information from incoming signal and noise data and makes few assumptions about the statistical structure of signals and their environment. Intelligent Signal Processing explores how ISP tools address the problems of practical neural systems, new signal data, and blind fuzzy approximators. The editors have compiled 20 articles written by prominent researchers covering diverse practical applications of this nascent topic, exposing the reader to the signal processing power of learning and adaptive systems. This essential reference is intended for researchers, professional engineers, and scientists working in statistical signal processing and its applications in various fields such as humanistic intelligence, stochastic resonance, financial markets, noise processing optimization, pattern recognition, signal detection, speech processing, and sensor fusion. Intelligent Signal Processing is also invaluable for graduate students and academics with a background in computer science, computer engineering, or electrical engineering.

 

Table of Contents:

Preface.

List of Contributors.

Humanistic Intelligence: "Wear Comp" As a New Framework and Application for Intelligent Signal Processing.

Adaptive Stochastic Resonance.

Learning in the Presence of Noise.

Incorporating Prior Information in Machine Learning by Creating Virtual Examples.

Deterministic Annealing for Clustering, Compression, Classification, Regression, and Speech recognition.

Local Dynamic Modeling with Self-Organizing Maps and Applications to Nonlinear System Identification and Control.

A Signal Processing Framework Based on Dynamic Neural Networks with Application to Problems in Adaptation, Filtering and Classification.

Semiparametric Support Vector Machines for Nonlinear Model Estimation.

Gradient-Based Learning Applied to Document Recognition.

Pattern Recognition Using A Family of Design Algorithms Based Upon Generalized Probabilistic Descent Method.

An Approach to Adaptive Classification.

Reduced-Rank Intelligent Signal Processing with Application to Radar.

Signal Detection in a Nonstationary Environment Reformulated as an Adaptive Pattern Classification Problem.

Data Representation Using Mixtures of Principal Components.

Image Denoising by Sparse Code Shrinkage.

Index.

About the Editors.

商品描述(中文翻譯)

描述：
IEEE Press 自豪地推出首本專門針對智能信號處理（Intelligent Signal Processing, ISP）新領域的選定重印卷。ISP 在根本上與傳統的統計信號處理方法不同，它通過使用「智能」或「無模型」技術來建模複雜系統的輸入-輸出行為，而不是依賴數學模型的缺陷。ISP 系統從進來的信號和噪聲數據中提取信息，並對信號及其環境的統計結構做出很少的假設。《智能信號處理》探討了 ISP 工具如何解決實際神經系統、新信號數據和盲模糊近似器的問題。編輯們編輯了 20 篇由知名研究人員撰寫的文章，涵蓋了這一新興主題的多樣實際應用，讓讀者接觸到學習和自適應系統的信號處理能力。這本重要的參考書籍旨在為從事統計信號處理及其在各個領域應用的研究人員、專業工程師和科學家提供幫助，這些領域包括人文智能、隨機共振、金融市場、噪聲處理優化、模式識別、信號檢測、語音處理和傳感器融合。《智能信號處理》對於具有計算機科學、計算機工程或電機工程背景的研究生和學術界人士也具有重要價值。

目錄：
前言。
貢獻者名單。
人文智能：將「穿戴計算」作為智能信號處理的新框架和應用。
自適應隨機共振。
在噪聲存在下的學習。
通過創建虛擬示例在機器學習中納入先前信息。
用於聚類、壓縮、分類、回歸和語音識別的確定性退火。
使用自組織映射的局部動態建模及其在非線性系統識別和控制中的應用。
基於動態神經網絡的信號處理框架，應用於適應、過濾和分類問題。
用於非線性模型估計的半參數支持向量機。
應用於文檔識別的基於梯度的學習。
使用基於廣義概率下降法的設計算法族的模式識別。
自適應分類的方法。
應用於雷達的降秩智能信號處理。
在非平穩環境中的信號檢測重新表述為自適應模式分類問題。
使用主成分混合進行數據表示。
通過稀疏編碼收縮進行圖像去噪。
索引。
編輯介紹。

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