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MATLAB primer for speech-language pathology and audiology / Frank R. Boutsen, PhD, CCC-SLP, Justin D. Dvorak, MS.

By: Contributor(s): Material type: TextTextPublisher: San Diego, CA : Plural Publishing Inc., [2016]Description: 1 online resource (xiv, 210 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781597569491
  • 1597569496
Subject(s): Genre/Form: Additional physical formats: Print version:: MATLAB primer for speech-language pathology and audiology.DDC classification:
  • 616.85/500285 23
LOC classification:
  • RC423 .B656 2016eb
NLM classification:
  • W 26.55.S6
Online resources:
Contents:
Introduction to programming with MATLAB -- Basic operations for sampling and wave data -- Interfacing with software -- Applications of MATLAB in clinical and research settings -- Clinic data management and analysis.
Summary: This book provides training and access to MATLAB®, the computational language developed by MathWorks®, specific to research speech-language pathology and audiology. This book is intended for students, practitioners, and researchers who wish to increase their productivity by incorporating and automating common research procedures and data-analysis calculations, or who wish to develop new tools and methods for their own paradigms and data processing.
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Holdings
Item type Home library Collection Call number Materials specified Status Date due Barcode
Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Includes bibliographical references and index.

Introduction to programming with MATLAB -- Basic operations for sampling and wave data -- Interfacing with software -- Applications of MATLAB in clinical and research settings -- Clinic data management and analysis.

Print version record.

English.

This book provides training and access to MATLAB®, the computational language developed by MathWorks®, specific to research speech-language pathology and audiology. This book is intended for students, practitioners, and researchers who wish to increase their productivity by incorporating and automating common research procedures and data-analysis calculations, or who wish to develop new tools and methods for their own paradigms and data processing.

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