Digital signal processing using MATLAB for students and researchers / / John W. Leis

• Record Nr.: UNINA9910140977003321
• Autore: Leis John <1966->
• Pubbl/distr/stampa: Hoboken, New Jersey, : Wiley, [2011]
• ISBN: 1-283-12636-2; 9786613126368; 1-118-03380-9; 1-118-03362-0; 1-118-03360-4
• Descrizione fisica: 1 online resource (382 pages)
• Classificazione: SCI067000
• Disciplina: 621.382/2; 621.3822
• Soggetti: Signal processing - Digital techniques; Signal processing - Mathematics - Data processing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: DIGITAL SIGNAL PROCESSING USING MATLAB FOR STUDENTS AND RESEARCHERS; CONTENTS; PREFACE; CHAPTER 1: WHAT IS SIGNAL PROCESSING?; 1.1 CHAPTER OBJECTIVES; 1.2 INTRODUCTION; 1.3 BOOK OBJECTIVES; 1.4 DSP AND ITS APPLICATIONS; 1.5 APPLICATION CASE STUDIES USING DSP; 1.6 OVERVIEW OF LEARNING OBJECTIVES; 1.7 CONVENTIONS USED IN THIS BOOK; 1.8 CHAPTER SUMMARY; CHAPTER 2: MATLAB FOR SIGNAL PROCESSING; 2.1 CHAPTER OBJECTIVES; 2.2 INTRODUCTION; 2.3 WHAT IS MATLAB?; 2.4 GETTING STARTED; 2.5 EVERYTHING IS A MATRIX; 2.6 INTERACTIVE USE; 2.7 TESTING AND LOOPING; 2.8 FUNCTIONS AND VARIABLES; 2.9 PLOTTING AND GRAPHING2.10 LOADING AND SAVING DATA; 2.11 MULTIDIMENSIONAL ARRAYS; 2.12 BITWISE OPERATORS; 2.13 VECTORIZING CODE; 2.14 USING MATLAB FOR PROCESSING SIGNALS; 2.15 CHAPTER SUMMARY; CHAPTER 3: SAMPLED SIGNALS AND DIGITAL PROCESSING; 3.1 CHAPTER OBJECTIVES; 3.2 INTRODUCTION; 3.3 PROCESSING SIGNALS USING COMPUTER ALGORITHMS; 3.4 DIGITAL REPRESENTATION OF NUMBERS; 3.5 SAMPLING; 3.6 QUANTIZATION; 3.7 ; IMAGE DISPLAY; 3.8 ALIASING; 3.9 RECONSTRUCTION; 3.10 BLOCK DIAGRAMS AND DIFFERENCE EQUATIONS; 3.11 LINEARITY, SUPERPOSITION, AND TIME INVARIANCE; 3.12 PRACTICAL ISSUES AND COMPUTATIONAL EFFICIENCY3.13 CHAPTER SUMMARY; CHAPTER 4: RANDOM SIGNALS; 4.1 CHAPTER OBJECTIVES; 4.2 INTRODUCTION; 4.3 RANDOM AND DETERMINISTIC SIGNALS; 4.4 RANDOM NUMBER GENERATION; 4.5 STATISTICAL PARAMETERS; 4.6 PROBABILITY FUNCTIONS; 4.7 COMMON DISTRIBUTIONS; 4.8 CONTINUOUS AND DISCRETE VARIABLES; 4.9 SIGNAL CHARACTERIZATION; 4.10 HISTOGRAM OPERATORS; 4.11 MEDIAN FILTERS; 4.12 CHAPTER SUMMARY; CHAPTER 5: REPRESENTING SIGNALS AND SYSTEMS; 5.1 CHAPTER OBJECTIVES; 5.2 INTRODUCTION; 5.3 DISCRETE-TIME WAVEFORM GENERATION; 5.4 THE z TRANSFORM; 5.5 POLYNOMIAL APPROACHThe previous section showed how to iterate a difference equation in order to determinethe output sequence. It is particularly important to understand the relationshipbetween difference equations and their transforms. The z transform of a linear systemgives us the key to combining systems together to form more complex systems, sincethe z transforms in combined blocks are able to be multiplied or added together asnecessary. We now give another insight into this approach.S...5.6 POLES, ZEROS, AND STABILITY; 5.7 TRANSFER FUNCTIONS AND FREQUENCY RESPONSE; 5.8 VECTOR INTERPRETATION OF FREQUENCY RESPONSE5.9 CONVOLUTION; 5.10 CHAPTER SUMMARY; CHAPTER 6: TEMPORAL AND SPATIAL SIGNAL PROCESSING; 6.1 CHAPTER OBJECTIVES; 6.2 INTRODUCTION; 6.3 CORRELATION; 6.4 LINEAR PREDICTION; 6.5 NOISE ESTIMATION AND OPTIMAL FILTERING; 6.6 TOMOGRAPHY; 6.7 CHAPTER SUMMARY; CHAPTER 7: FREQUENCY ANALYSIS OF SIGNALS; 7.1 CHAPTER OBJECTIVES; 7.2 INTRODUCTION; 7.3 FOURIER SERIES; 7.4 HOW DO THE FOURIER SERIES COEFFICIENT EQUATIONS COME ABOUT?; 7.5 PHASE-SHIFTED WAVEFORMS; 7.6 THE FOURIER TRANSFORM; 7.7 ALIASING IN DISCRETE-TIME SAMPLING; 7.8 THE FFT AS A SAMPLE INTERPOLATOR
• Sommario/riassunto: "This book uses an active learning approach to the topic of digital signal processing (DSP). DSP is a fundamental technology with wide ranging applications as, for example, digital downloads of movies, mobile and broadband communications, digital television, and many other areas. In this book the subject is taught using a "hands-on" experimental approach with MATLAB examples throughout the text to illustrate the mathematical concepts and DSP algorithms developed and explained. Existing books in this area tends to fall into one of two camps - either a highly mathematical treatment with few practical examples of the everyday uses of DSP, or else very verbose and descriptive treatments with little or no mathematical content to back up the topics. The former type of text is excellent as a standard reference, but poor as a learning vehicle. The latter type of text is good for general knowledge, but fails to meet the needs of University students and practicing industry professionals. Students need a learn-by-doing approach, and industry professionals need to come up to speed as rapidly as possible. The book uses MATLAB throughout, inn an established industry and University programming environment. Furthermore, it requires that the reader only have access to the Student/Educational version of MATLAB, not the full commercial version, which is out of reach of most students"--