Intelligent signal processing by Simon S. Haykin

Cover of: Intelligent signal processing | Simon S. Haykin

Published by IEEE Press in New York .

Written in English

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Subjects:

  • Signal processing -- Digital techniques,
  • Intelligent control systems,
  • Adaptive signal processing

Edition Notes

Book details

Statementedited by Simon Haykin, Bart Kosko.
ContributionsHaykin, Simon S., 1931-, Kosko, Bart.
The Physical Object
Paginationxxi, 573 p. :
Number of Pages573
ID Numbers
Open LibraryOL19020180M
ISBN 100780360109
LC Control Number00061369
OCLC/WorldCa44775456

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Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas.

Chapters focus on the latest applications of speech data analysis and. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing.

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The main focus of this book. Book Description. Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application rs focus on the latest applications of speech.

Intelligent signal processing (ISP) methods are progressively swapping the conventional analog signal processing techniques in several domains, such as speech analysis and processing, biomedical signal analysis radar and sonar signal processing, and processing, telecommunications, and geophysical signal processing.

The main focus is this book. Intelligent Signal Processing is also invaluable for graduate students and academics with a background in computer science, computer engineering, or electrical engineering. About the Editors Simon Haykin is the founding director of the Communications Research Laboratory at McMaster University, Hamilton, Ontario, Canada, where he serves as.

The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including.

This edited volume contains a selection of refereed and revised papers originally presented at the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS), March, Trivandrum, India. The program committee received submissions from 11 countries.

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Therefore, this chapter introduces common signal processing techniques from time to frequency domains, even to abundant time-frequency domain. In addition, the common statistical features in each domain are also introduced in this chapter to further achieve the fault diagnosis of rotating machinery.

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Intelligent signal processing. New York: IEEE Press, © (OCoLC) Online version: Intelligent signal processing. New York: IEEE Press, © (OCoLC) Material Type: Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Simon S Haykin; Bart Kosko.

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Get this from a library. Intelligent signal processing. [Simon S Haykin; Bart Kosko;] -- Annotation "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. This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy.

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Everyday low Format: Hardcover. Chapter Special Imaging Techniques. This chapter presents four specific aspects of image processing. First, ways to characterize the spatial resolution are discussed.

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It has been accepted for inclusion in Books/Book chapters by an authorized administrator of [email protected] by: This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a Workshop on Machine Intelligence and Signal Processing held at the Indraprastha Institute of Information Technology.

Problematic issues of intelligent techniques in signal processing for multimedia security and outlook for the future research are discussed too. in Signal Processing for Multimedia Security. Summary. Signal Processing for Intelligent Sensors with MATLAB ®, Second Edition once again presents the key topics and salient information required for sensor design and application.

Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections: Fundamentals of Digital Signal. This Edited Volume contains a selection of refereed and revised papers originally presented at the second International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS), December, Trivandrum, India.

The program committee received submissions. Each paper. The book comprises contributions by the research scholars and academicians covering the topics in signal processing and communication engineering, applied electronics and emerging technologies, computer vision and machine learning, big data and cloud computing and advanced intelligent power electronics and drives systems.

Highlights recent research on Signal Processing and Intelligent Recognition Techniques Presents the peer-reviewed proceedings of the Third International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS’17), held.

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