Introduction To Digital Signal Processing Using Matlab And Scilab


Introduction To Digital Signal Processing Using Matlab And Scilab
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Introduction To Digital Signal Processing Using Matlab And Scilab


Introduction To Digital Signal Processing Using Matlab And Scilab
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Author : Atique Mohd. & Bhagat Amol
language : en
Publisher: Vikas Publishing House
Release Date :

Introduction To Digital Signal Processing Using Matlab And Scilab written by Atique Mohd. & Bhagat Amol and has been published by Vikas Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


Introduction to Digital Signal Processing written for the undergraduate and post graduate students of Electrical, Electronics, Computer Science & Engineering and Information Technology meets the syllabus requirements of most Indian Universities. This covers basic concepts of digital signal processing which are necessary for the implementation of signal processing systems and applications. Elaboration of basic digital concepts using MATLAB and Scilab codes is provided for practical knowledge of the students. Some topics on classical/analytical Signal Processing required for various national level examinations like GATE etc. have also been covered.



Introduction To Digital Signal Processing Using Matlab


Introduction To Digital Signal Processing Using Matlab
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Author : Robert J. Schilling
language : en
Publisher: Nelson Engineering
Release Date : 2011-02

Introduction To Digital Signal Processing Using Matlab written by Robert J. Schilling and has been published by Nelson Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02 with MATLAB. categories.


This second edition text focuses on the fundamentals of digital signal processing with an emphasis on practical applications. In order to motivate students, many of the examples illustrate the processing of speech and music. This theme is also a focus of the course software that features facilities for recording and playing sound on a standard PC. The accompanying website contains a comprehensive MATLAB software package called the Fundamentals of Digital Signal Processing (FDSP) toolbox version 2.0. The FDSP toolbox includes chapter GUI modules, an extensive library of DSP functions, all computational examples that appear in the text, the text figures, solutions to selected problems, and online help documentation. Using the interactive GUI modules, students can explore, compare, and directly experience the effects of signal processing techniques without any need for programming.



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 And Image Processing Using Matlab Volume 1


Digital Signal And Image Processing Using Matlab Volume 1
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Author : Gérard Blanchet
language : en
Publisher: John Wiley & Sons
Release Date : 2014-07-22

Digital Signal And Image Processing Using Matlab Volume 1 written by Gérard Blanchet 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 2014-07-22 with Technology & Engineering categories.


This fully revised and updated second edition presents the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLAB language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject. This fully revised new edition updates : the introduction to MATLAB programs and functions as well as the Graphically displaying results for 2D displays. Calibration fundamentals for Discrete Time Signals and Sampling in Deterministic signals. image processing by modifying the contrast. also added are examples and exercises.



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 Computers 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


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 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.



Conceptual Digital Signal Processing With Matlab


Conceptual Digital Signal Processing With Matlab
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Author : Keonwook Kim
language : en
Publisher: Springer Nature
Release Date : 2021

Conceptual Digital Signal Processing With Matlab written by Keonwook Kim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Digital filters (Mathematics) categories.


This textbook provides an introduction to the study of digital signal processing, employing a top-to-bottom structure to motivate the reader, a graphical approach to the solution of the signal processing mathematics, and extensive use of MATLAB. In contrast to the conventional teaching approach, the book offers a top-down approach which first introduces students to digital filter design, provoking questions about the mathematical tools required. The following chapters provide answers to these questions, introducing signals in the discrete domain, Fourier analysis, filters in the time domain and the Z-transform. The author introduces the mathematics in a conceptual manner with figures to illustrate the physical meaning of the equations involved. Chapter six builds on these concepts and discusses advanced filter design, and chapter seven discusses matters of practical implementation. This book introduces the corresponding MATLAB functions and programs in every chapter with examples, and the final chapter introduces the actual real-time filter from MATLAB. Aimed primarily at undergraduate students in electrical and electronic engineering, this book enables the reader to implement a digital filter using MATLAB.



Digital Signal Processing Using Matlab


Digital Signal Processing Using Matlab
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Author : Andr¿ Quinquis
language : en
Publisher: John Wiley & Sons
Release Date : 2010-01-05

Digital Signal Processing Using Matlab written by Andr¿ Quinquis 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 2010-01-05 with Technology & Engineering categories.


This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are provided, along with theoretical aspects that are essential in order to gain a good understanding of the main topics. Practicing engineers may also find it useful as an introductory text on the subject.



Digital Signal Processing Using Matlab Wavelets


Digital Signal Processing Using Matlab Wavelets
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Author : Michael Weeks
language : en
Publisher: Jones & Bartlett Publishers
Release Date : 2011

Digital Signal Processing Using Matlab Wavelets written by Michael Weeks and has been published by Jones & Bartlett Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.


Although Digital Signal Processing (DSP) has long been considered an electrical engineering topic, recent developments have also generated significant interest from the computer science community. DSP applications in the consumer market, such as bioinformatics, the MP3 audio format, and MPEG-based cable/satellite television have fueled a desire to understand this technology outside of hardware circles. Designed for upper division engineering and computer science students as well as practicing engineers and scientists, Digital Signal Processing Using MATLAB & Wavelets, Second Edition emphasizes the practical applications of signal processing. Over 100 MATLAB examples and wavelet techniques provide the latest applications of DSP, including image processing, games, filters, transforms, networking, parallel processing, and sound. This Second Edition also provides the mathematical processes and techniques needed to ensure an understanding of DSP theory. Designed to be incremental in difficulty, the book will benefit readers who are unfamiliar with complex mathematical topics or those limited in programming experience. Beginning with an introduction to MATLAB programming, it moves through filters, sinusoids, sampling, the Fourier transform, the z-transform and other key topics. Two chapters are dedicated to the discussion of wavelets and their applications. A CD-ROM (platform independent) accompanies the book and contains source code, projects for each chapter, and the figures from the book.