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Saturday, July 25, 2020 | History

8 edition of Audio Signal Processing for Next-Generation Multimedia Communication Systems found in the catalog.

Audio Signal Processing for Next-Generation Multimedia Communication Systems

  • 378 Want to read
  • 31 Currently reading

Published by Springer .
Written in English

    Subjects:
  • Artificial intelligence,
  • Communications engineering / telecommunications,
  • Keyboarding,
  • Computers - General Information,
  • Computers,
  • Telecommunications,
  • Computer Books: General,
  • Telecommunication systems,
  • Multimedia systems,
  • Engineering - Electrical & Electronic,
  • Interactive & Multimedia,
  • Computers / Interactive Media,
  • Technology / Engineering / Electrical,
  • Technology-Engineering - Electrical & Electronic,
  • Technology-Telecommunications,
  • Speech processing systems

  • Edition Notes

    ContributionsYiteng (Arden) Huang (Editor), Jacob Benesty (Editor)
    The Physical Object
    FormatHardcover
    Number of Pages392
    ID Numbers
    Open LibraryOL8372900M
    ISBN 101402077688
    ISBN 109781402077685

    Audio signal processing. Audio signal processing is a subfield of signal processing that is concerned with the electronic manipulation of audio signals. Audio signals are electronic representations of sound waves—longitudinal waves which travel through air, consisting of compressions and rarefactions. Digital audio, speech recognition, cable modems, radar, high-definition television-these are but a few of the modern computer and communications applications relying on digital signal processing (DSP) and the attendant application-specific integrated circuits (ASICs). As information-age industries constantly reinvent ASIC chips for lower power consumption and higher efficiency, there is a.

    Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space, or frequency. Signal processing is an electrical engineering subfield that focuses on analysing, modifying, and synthesizing signals such as sound, images, and scientific measurements. Signal processing techniques can be used to improve transmission, storage efficiency and subjective quality and to also emphasize or detect components of interest in a measured signal.

    Signal Processing for Wireless Communications and Multimedia: Design, Tools, Architectures Advanced Digital System Design Course , EPF-L Prof. Heinrich Meyr RWTH Aachen University, Germany and Chief Scientific Officer, CoWare Inc 2 Agenda Future Wireless Communication System Future Wireless Communication Systems and ist Impact on ESLFile Size: 2MB. • Image, multimedia, speech and audio signal processing • Biomedical signal processing and systems • Bio-inspired systems • Machine learning • Next generation wireless and optical communications.


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Audio Signal Processing for Next-Generation Multimedia Communication Systems Download PDF EPUB FB2

Audio Signal Processing for Next-Generation Multimedia Communication Systems presents cutting-edge digital signal processing theory and implementation techniques for problems including speech acquisition and enhancement using microphone arrays, new adaptive filtering algorithms, multichannel acoustic echo cancellation, sound source tracking and separation, audio coding, and realistic sound stage reproduction.

This book's 3/5(1). Audio Signal Processing for Next-Generation Multimedia Communication Systems presents cutting-edge digital signal processing theory and implementation techniques for problems including speech acquisition and enhancement using microphone arrays, new adaptive filtering algorithms, multichannel.

Perhaps audio signal processing is perceived as an easier and less dynamic subject than video signal processing, judging from the relative numbers of books in these two areas. This book, which is at the cutting edge of audio processing technology, shows that this technology is instead quite involved, and has a fair amount of dynamic momentum.

Audio Signal Processing for Next-Generation Multimedia Communication Systems presents cutting-edge digital signal processing theory and implementation techniques for problems including speech acquisition and enhancement using microphone arrays, new adaptive filtering algorithms, multichannel acoustic echo cancellation, sound source tracking and separation, audio coding, and realistic sound stage reproduction.

Research in audio signal processing has developed very promising algorithms for hands-free human-machine interfaces, e.g., beamforming, acoustic echo cancellation, source separation, and source. Audio Signal Processing for Next-Generation Multimedia Communication Systems 1 edition By Yiteng (Arden) Huang Audio Signal Processing for Next-Generation Multimedia Communication S.

Audio Signal Processing for Next-Generation Multimedia Communication Systems presents chopping-edge digital signal processing precept and implementation strategies for points along with speech acquisition and enhancement using microphone arrays, new adaptive filtering algorithms, multichannel acoustic echo cancellation, sound provide monitoring and separation, audio coding, and affordable sound stage copy.

RD-based localization is particularly popular in audio signal processing, where pseudoranges are usually computed from the measurements of the TDOAs between calibrated and synchronized microphones. AUDIO SIGNAL PROCESSING FOR NEXT-GENERATION MULTIMEDIA COMMUNI­ Introduction 1 Yiteng (Arden) Huang Jacob Benesty 1.

Multimedia Communications 1 2. Challenges and Opportunities 3 3. Organization of the Book 4 Part I Speech Acquisition and Enhancement 2 X Audio Signal Processing. Audio Signal Processing for Next-Generation Multimedia Communication Systems Yiteng (Arden) Huang, Jacob Benesty I would say this book is a five star book if you are a researcher in any of the following areas: speech acquisition and enhancement, acoustic echo cancellation, sound source tracking and estimation, or audio coding and sound stage representation.

The book is composed as a combination of two intertwined areas: Multimedia signal processing and Multimedia systems. Note that multimedia signal processing is presented in a larger extent than in the standard books on fundamentals of multimedia systems.

Besides commonly used signal processing techniques, here weCited by: Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP).

The applications of DSP are pervasive and include multimedia systems, cellular communication, adaptive network management, radar, pattern recognition, medical signal processing, financial data forecasting, artificial intelligence, decision making, control 2/5(1).

Presents digital signal processing theory and implementation techniques for problems including speech acquisition and enhancement using microphone arrays. Audio Books & Poetry Community Audio Computers, Technology and Science Music, Full text of "Audio signal processing for ext-generation multimedia communication systems [electronic resource]" See other formats.

Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP). The applications of DSP are pervasive and include multimedia systems, cellular communication, adaptive network management, radar, pattern recognition, medical signal processing, financial data forecasting, artificial intelligence, decision.

Huang, Y., & Benesty, J. Audio Signal Processing for Next-Generation Multimedia Communication Systems. New York Kluwer Academic Publishers. impact of these signal processing technologies on the devel-opment of next generation multimedia communications.

Key words: mobile digital video, IPTV, video adaptation, distributed video coding, video content acquisition, management, delivery I. INTRODUCTION Multimedia communication over Internet and mobile wireless.

Abstract. Digital noise reduction processing is used in many telecommunications applications to enhance the quality of speech. This investigation focuses on the class of single-channel noise reduction methods employing the technique of short-time spectral modification, a class that includes the popular method of spectral by: S.

Stankovic, "New ICT Compressive sensing based trends applied to: multimedia, biomedicine and communications," the grant application approved in Aprilfinanced by the Ministry of Science Montenegro, under the World Bank loan, S. Stankovic, "Advance techniques for automatized analysis and processing of non-stationary signals in modern applications: communications, radars.

Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP). The applications of DSP are pervasive and include multimedia systems, cellular communication, adaptive network management, radar, pattern recognition, medical signal processing, financial data forecasting, artificial intelligence, decision 3/5(1).

Get to grips with the principles and practice of signal processing used in mobile communications systems. Focusing particularly on speech, video, and modem signal processing, pioneering experts employ a detailed, top-down analytical approach to outline the network architectures and protocol structures of multiple generations of mobile communications systems, identify the logical ranges Author: Kyunghun Jung, Russell M.

Mersereau.Audio Signal Processing for Next-Generation Multimedia Communication Systems的话题 (全部 条) 什么是话题 无论是一部作品、一个人,还是一件事,都往往可以衍生出许多不同的话题。.Cambridge Core - Computing and Society - Social Signal Processing - edited by Judee K.

Burgoon.