Introduction To Digital Signal Processing Using Matlab With Application To Digital Communications


Introduction To Digital Signal Processing Using Matlab With Application To Digital Communications
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Introduction To Digital Signal Processing Using Matlab With Application To Digital Communications


Introduction To Digital Signal Processing Using Matlab With Application To Digital Communications
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Author : K.S. Thyagarajan
language : en
Publisher: Springer
Release Date : 2018-05-28

Introduction To Digital Signal Processing Using Matlab With Application To Digital Communications written by K.S. Thyagarajan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-28 with Technology & Engineering categories.


This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego.



Digital Signal Processing Using Matlab


Digital Signal Processing Using Matlab
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Author : Vinay Ingle
language : en
Publisher: Cengage Learning
Release Date : 2006-08-10

Digital Signal Processing Using Matlab written by Vinay Ingle and has been published by Cengage Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-10 with Technology categories.


This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB in the study of DSP concepts. In this book, MATLAB is used as a computing tool to explore traditional DSP topics, and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. This updated second edition includes new homework problems and revises the scripts in the book, available functions, and m-files to MATLAB V7. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Digital Signal Processing Using Matlab


Digital Signal Processing Using Matlab
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Author : Vinay K. Ingle
language : en
Publisher: Cengage Learning
Release Date : 2011-01-01

Digital Signal Processing Using Matlab written by Vinay K. Ingle and has been published by Cengage Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-01 with Technology & Engineering categories.


In this supplementary text, MATLAB is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Digital Signal Processing


Digital Signal Processing
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Author : Zahir M. Hussain
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-02-17

Digital Signal Processing written by Zahir M. Hussain and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-17 with Technology & Engineering categories.


In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio effects production. Part II considers selected signal processing systems and techniques. Core topics covered are the Hilbert transformer, binary signal transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary signal analysis. Part III presents some selected advanced DSP topics.



Digital Signal Processing Using Matlab


Digital Signal Processing Using Matlab
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Author : Vinay K. Ingle
language : en
Publisher:
Release Date : 2017

Digital Signal Processing Using Matlab written by Vinay K. Ingle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with MATLAB. categories.


Learn to use MATLAB® as a useful computing tool for exploring traditional Digital Signal Processing (DSP) topics and solving problems to gain insight with this supplementary text. DIGITAL SIGNAL PROCESSING USING MATLAB®: A PROBLEM SOLVING COMPANION, 4E greatly expands the range and complexity of problems that you can effectively study. Since DSP applications are primarily algorithms implemented on a DSP processor or software, they require a significant amount of programming. Using interactive software, such as MATLAB®, enables you to focus on mastering new and challenging concepts rather than concentrating on programming algorithms. This edition discusses interesting, practical examples and explores useful problems. New online chapters introduce advanced topics, such as optimal filters, linear prediction, and adaptive filters, which are essential in furthering your academic studies at the graduate level.



Essentials Of Digital Signal Processing Using Matlab


Essentials Of Digital Signal Processing Using Matlab
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Author : Vinay K. Ingle
language : en
Publisher:
Release Date : 2011-03

Essentials Of Digital Signal Processing Using Matlab written by Vinay K. Ingle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03 with Dijital sinyal işleme categories.


In this supplementary text, MATLAB® is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB® makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored.



Lab Primer Through Matlab


Lab Primer Through Matlab
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Author : NAVAS, K. A.
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2014-02-19

Lab Primer Through Matlab written by NAVAS, K. A. and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-19 with Technology & Engineering categories.


This systematically designed laboratory manual elucidates a number of techniques which help the students carry out various experiments in the field of digital signal processing, digital image processing, digital signal processor and digital communication through MATLAB® in a single volume. A step-wise discussion of the programming procedure using MATLAB® has been carried out in this book. The numerous programming examples for each digital signal processing lab, image processing lab, signal processor lab and digital communication lab have also been included. The book begins with an introductory chapter on MATLAB®, which will be very useful for a beginner. The concepts are explained with the aid of screenshots. Then it moves on to discuss the fundamental aspects in digital signal processing through MATLAB®, with a special emphasis given to the design of digital filters (FIR and IIR). Finally digital communication and image processing sections in the book help readers to understand the commonly used MATLAB® functions. At the end of this book, some basic experiments using DSP trainer kit have also been included. Audience This book is intended for the undergraduate students of electronics and communication engineering, electronics and instrumentation engineering, and instrumentation and control engineering for their laboratory courses in digital signal processing, image processing and digital communication. Key Features • Includes about 115 different experiments. • Contains several figures to reinforce the understanding of the techniques discussed. • Gives systematic way of doing experiments such as Aim, Theory, Programs, Sample inputs and outputs, Viva voce questions and Examination questions.



Digital Signal Processing With Examples In Matlab


Digital Signal Processing With Examples In Matlab
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Author : Samuel D. Stearns
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Digital Signal Processing With Examples In Matlab written by Samuel D. Stearns and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Technology & Engineering categories.


Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today's powerful computing capabilities, they can be used in a wide range of application areas, including engineering, communicati



Digital Signal Processing Using Matlab For Students And Researchers


Digital Signal Processing Using Matlab For Students And Researchers
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Author : John W. Leis
language : en
Publisher: John Wiley & Sons
Release Date : 2011-10-14

Digital Signal Processing Using Matlab For Students And Researchers written by John W. Leis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-14 with Science categories.


Quickly 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. Following an introductory chapter, the text explores: Sampled signals and digital processing Random signals Representing signals and systems Temporal and spatial signal processing Frequency analysis of signals Discrete-time filters and recursive filters 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.



Digital Signal Processing Using Matlab


Digital Signal Processing Using Matlab
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Author : Vinay K. Ingle
language : en
Publisher:
Release Date : 2012

Digital Signal Processing Using Matlab written by Vinay K. Ingle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with MATLAB. categories.