Digital signal processing fundamentals and applications

This textbook presents digital signal processing (DSP) principles, applications, and hardware implementation issues, emphasizing achievable results and conclusions through the presentation of numerous worked examples, while reducing the use of mathematics for an easier grasp of the concepts. This te...

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Bibliographic Details
Main Authors: Tan, Li-zhe, Jiang, Jean (Author)
Format: eBook
Language:English
Published: Waltham, Mass. Elsevier 2013, 2013
Edition:Second edition
Subjects:
Online Access:
Collection: Elsevier ScienceDirect eBooks - Collection details see MPG.ReNa
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020 |a 9780124159822 
020 |a 0124159826 
020 |a 9780124158931 
020 |a 0124158935 
100 1 |a Tan, Li-zhe 
245 0 0 |a Digital signal processing  |h [electronic resource]  |h Elektronische Ressource  |b fundamentals and applications  |c Li Tan, Jean Jiang 
250 |a Second edition 
260 |a Waltham, Mass.  |b Elsevier  |c 2013, 2013 
300 |a online resource (xv, 876 pages) 
505 0 |a Includes bibliographical references and index 
505 0 |a Fundamentals and Applications; Copyright; Contents; Preface; Chapter 1 -- Introduction to Digital Signal Processing; 1.1 BASIC CONCEPTS OF DIGITAL SIGNAL PROCESSING; 1.2 BASIC DIGITAL SIGNAL PROCESSING EXAMPLES IN BLOCK DIAGRAMS; 1.3 OVERVIEW OF TYPICAL DIGITAL SIGNAL PROCESSING IN REAL-WORLD APPLICATIONS; 1.4 DIGITAL SIGNAL PROCESSING APPLICATIONS; 1.5 SUMMARY; Chapter 2 -- Signal Sampling and Quantization; 2.1 SAMPLING OF CONTINUOUS SIGNAL; 2.2 SIGNAL RECONSTRUCTION; 2.3 ANALOG-TO-DIGITAL CONVERSION, DIGITAL-TO-ANALOG CONVERSION, AND QUANTIZATION. 
505 0 |a 2.4 SUMMARY2.5 MATLAB PROGRAMS; Chapter 3 -- Digital Signals and Systems; 3.1 DIGITAL SIGNALS; 3.2 LINEAR TIME-INVARIANT, CAUSAL SYSTEMS; 3.3 DIFFERENCE EQUATIONS AND IMPULSE RESPONSES; 3.4 BOUNDED-IN AND BOUNDED-OUT STABILITY; 3.5 DIGITAL CONVOLUTION; 3.6 SUMMARY; Chapter 4 -- Discrete Fourier Transform and Signal Spectrum; 4.1 DISCRETE FOURIER TRANSFORM; 4.2 AMPLITUDE SPECTRUM AND POWER SPECTRUM; 4.3 SPECTRAL ESTIMATION USING WINDOW FUNCTIONS; 4.4 APPLICATION TO SIGNAL SPECTRAL ESTIMATION; 4.5 FAST FOURIER TRANSFORM; 4.6 SUMMARY; 4.7 PROBLEMS; Chapter 5 -- The z-Transform; 5.1 DEFINITION. 
505 0 |a SIGNAL ENHANCEMENT AND FILTERING; 6.8 SUMMARY; 6.9 PROBLEMS. 
505 0 |a NOISE REDUCTION AND TWO-BAND DIGITAL CROSSOVER; 7.5 FREQUENCY SAMPLING DESIGN METHOD; 7.6 OPTIMAL DESIGN METHOD; 7.7 REALIZATION STRUCTURES OF FINITE IMPULSE RESPONSE FILTERS; 7.8 COEFFICIENT ACCURACY EFFECTS ON FINITE IMPULSE RESPONSE FILTERS; 7.9 SUMMARY OF FIR DESIGN PROCEDURES AND SELECTION OF FIR FILTER DESIGN METHODS IN PRACTICE; 7.10 SUMMARY; 7.11 MATLAB PROGRAMS; 7.12 PROBLEMS; Chapter 8 -- Infinite Impulse Response Filter Design 
505 0 |a DIGITAL AUDIO EQUALIZER; 8.6 IMPULSE-INVARIANT DESIGN METHOD; 8.7 POLE-ZERO PLACEMENT METHOD FOR SIMPLE INFINITE IMPULSE RESPONSE FILTERS; 8.8 REALIZATION STRUCTURES OF INFINITE IMPULSE RESPONSE FILTERS; 8.9 APPLICATION: 60-HZ HUM ELIMINATOR AND HEART RATE DETECTION USING ELECTROCARDIOGRAPHY. 
653 |a Signal processing / Digital techniques 
653 |a Signal processing / Digital techniques 
653 |a COMPUTERS / Information Theory / bisacsh 
653 |a TECHNOLOGY & ENGINEERING / Signals & Signal Processing / bisacsh 
653 |a Signal processing / Digital techniques / fast / (OCoLC)fst01118285 
700 1 |a Jiang, Jean  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b ESD  |a Elsevier ScienceDirect eBooks 
856 4 0 |u http://www.sciencedirect.com/science/book/9780124158931  |x Verlag  |3 Volltext 
082 0 |a 621.382/2 
520 |a This textbook presents digital signal processing (DSP) principles, applications, and hardware implementation issues, emphasizing achievable results and conclusions through the presentation of numerous worked examples, while reducing the use of mathematics for an easier grasp of the concepts. This text gives students in electronics, computer engineering and bioengineering an understanding of essential DSP principles and implementation, demonstrating how the subject is fundamental to engineering as practiced today. Covers DSP principles with emphasis on applications to communications and control. Discusses implementation of DSP algorithms in hardware and softwareChapter Objectives, worked examples, and end of chapter exercises aid the reader in grasping key concepts and solving related problemsWebsite with MATLAB programs for simulation and C programs for real-time DSP New to this Edition: MATLAB projects dealing with practical applications added throughout the bookNew chapter (chapter 13) covering subband coding and wavelet transforms, methods that have become popular in the DSP fieldNew applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signalsAll real-time C programs revised for the TMS320C6713 DSK.