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1 John W. Leis Digital signal processing using MATLAB for students and researchers 024076 2011 Book  
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TitleDigital signal processing using MATLAB for students and researchers
Author(s)John W. Leis
PublicationNew Jersey, John Wiley and Sons, 2011.
Descriptionxi, 382p.
Abstract NoteQuickly Engages in Applying Algorithmic Techniques to Solve Practical Signal Processing Problems.With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms. Readers will develop a deeper understanding of how to apply the algorithms by manipulating the codes in the examples to see their effect. Moreover, plenty of exercises help to put knowledge into practice solving real-world signal processing challenges. Each chapter begins with chapter objectives and an introduction. A summary at the end of each chapter ensures that one has mastered all the key concepts and techniques before progressing in the text. Lastly, appendices listing selected web resources, research papers, and related textbooks enable the investigation of individual topics in greater depth. Upon completion of this text, readers will understand how to apply key algorithmic techniques to address practical signal processing problems as well as develop their own signal processing algorithms. Moreover, the text provides a solid foundation for evaluating and applying new digital processing signal techniques as they are developed.
ISBN,Price9780470880913 : $ 94.95(HB)
Classification621.391.8:681.3
Keyword(s)1. DIGITAL SIGNAL PROCESSING 2. MATLAB 3. RANDOM SIGNAL PROCESSING 4. SIGNAL PROCESSING
Item TypeBook

Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
024076   621.391.8:681.3/LEI/024076  Issued MJ02: Jameer Manur 11/Nov/2024

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