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Introduction to Audio Analysis: A MATLAB (R) Approach
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Introduction to Audio Analysis: A MATLAB (R) Approach
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Introduction to Audio Analysis: A MATLAB (R) Approach

US $29.99
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    EAN
    9780080993881
    ISBN
    9780080993881
    Book Title
    Introduction to Audio Analysis: A MATLAB (R) Appro
    Item Height
    1.9 cm
    UPC
    9780080993881
    MPN
    N/A
    Item Weight
    0.33 kg
    類別

    關於產品

    Product Identifiers

    Publisher
    Elsevier Science & Technology
    ISBN-10
    0080993885
    ISBN-13
    9780080993881
    eBay Product ID (ePID)
    150549969

    Product Key Features

    Number of Pages
    288 Pages
    Language
    English
    Publication Name
    Introduction to Audio Analysis : a Matlab® Approach
    Subject
    Programming Languages / General, Signals & Signal Processing, Mathematical & Statistical Software, Numerical Analysis, Digital Media / Audio, Acoustics & Sound
    Publication Year
    2014
    Type
    Textbook
    Subject Area
    Mathematics, Computers, Technology & Engineering
    Author
    Aggelos Pikrakis, Theodoros Giannakopoulos
    Format
    Hardcover

    Dimensions

    Item Length
    9 in
    Item Width
    6 in

    Additional Product Features

    Intended Audience
    Scholarly & Professional
    LCCN
    2015-473171
    Dewey Edition
    23
    Reviews
    "...excellent starting point for those who would like to learn about audio analysis techniques and develop practical skills for using MATLAB to perform audio analysis tasks." -- Noise Control Engineering Journal, May-June 14, "...excellent starting point for those who would like to learn about audio analysis techniques and develop practical skills for using MATLAB to perform audio analysis tasks." -- Noise Control Engineering Journal, May-June 2014
    Illustrated
    Yes
    Dewey Decimal
    620.2
    Table Of Content
    Introduction Getting Familiar with Audio Signals Frequency Domain Representations and Filtering Audio Features Audio Classification Audio Segmentation Audio Alignment and Temporal Modelling Music Information Retrieval Appendix A: The Matlab Audio Analysis Library Appendix B: Audio-related Libraries and Software Appendix C: Audio Datasets
    Synopsis
    Introduction to Audio Analysis serves as a standalone introduction to audio analysis, providing theoretical background to many state-of-the-art techniques. It covers the essential theory necessary to develop audio engineering applications, but also uses programming techniques, notably MATLAB(R), to take a more applied approach to the topic. Basic theory and reproducible experiments are combined to demonstrate theoretical concepts from a practical point of view and provide a solid foundation in the field of audio analysis. Audio feature extraction, audio classification, audio segmentation, and music information retrieval are all addressed in detail, along with material on basic audio processing and frequency domain representations and filtering. Throughout the text, reproducible MATLAB(R) examples are accompanied by theoretical descriptions, illustrating how concepts and equations can be applied to the development of audio analysis systems and components. A blend of reproducible MATLAB(R) code and essential theory provides enable the reader to delve into the world of audio signals and develop real-world audio applications in various domains. Practical approach to signal processing: The first book to focus on audio analysis from a signal processing perspective, demonstrating practical implementation alongside theoretical concepts Bridge the gap between theory and practice: The authors demonstrate how to apply equations to real-life code examples and resources, giving you the technical skills to develop real-world applications Library of MATLAB code: The book is accompanied by a well-documented library of MATLAB functions and reproducible experiments, Introduction to Audio Analysis serves as a standalone introduction to audio analysis, providing theoretical background to many state-of-the-art techniques. It covers the essential theory necessary to develop audio engineering applications, but also uses programming techniques, notably MATLAB(R), to take a more applied approach to the topic. Basic theory and reproducible experiments are combined to demonstrate theoretical concepts from a practical point of view and provide a solid foundation in the field of audio analysis. Audio feature extraction, audio classification, audio segmentation, and music information retrieval are all addressed in detail, along with material on basic audio processing and frequency domain representations and filtering. Throughout the text, reproducible MATLAB(R) examples are accompanied by theoretical descriptions, illustrating how concepts and equations can be applied to the development of audio analysis systems and components. A blend of reproducible MATLAB(R) code and essential theory provides enable the reader to delve into the world of audio signals and develop real-world audio applications in various domains., Introduction to Audio Analysis serves as a standalone introduction to audio analysis, providing theoretical background to many state-of-the-art techniques. It covers the essential theory necessary to develop audio engineering applications, but also uses programming techniques, notably MATLAB®, to take a more applied approach to the topic. Basic theory and reproducible experiments are combined to demonstrate theoretical concepts from a practical point of view and provide a solid foundation in the field of audio analysis. Audio feature extraction, audio classification, audio segmentation, and music information retrieval are all addressed in detail, along with material on basic audio processing and frequency domain representations and filtering. Throughout the text, reproducible MATLAB® examples are accompanied by theoretical descriptions, illustrating how concepts and equations can be applied to the development of audio analysis systems and components. A blend of reproducible MATLAB® code and essential theory provides enable the reader to delve into the world of audio signals and develop real-world audio applications in various domains.
    LC Classification Number
    TA365

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