Digital Signal Processing - INAOE - P

1 Digital SignalProcessingTan: Digital Signaling Processing Perlims Final Proof page 1 3:30am Compositor Name: MRajaTan: Digital Signaling Processing Perlims Final Proof page 2 3:30am Compositor Name: MRajaThis page intentionally left blankDigital SignalProcessingFundamentals andApplicationsLi TanDeVry UniversityDecatur, GeorgiaAMSTERDAM BOSTON HEIDELBERG LONDONNEW YORK OXFORD PARIS SAN DIEGOSAN FRANCISCO SINGAPORE SYDNEY TOKYOA cademic Press is an imprint of ElsevierTan: Digital Signaling Processing Perlims Final Proof page 3 3:30am Compositor Name.

2 MRajaAcademic Press is an imprint of Elsevier30 Corporate Drive, Suite 400, Burlington, MA 01803, USA525 B Street, Suite 1900, San Diego, California 92101-4495, USA84 Theobald s Road, London WC1X 8RR, UKThis book is printed on acid-free 2008, Elsevier Inc. All rights part of this publication may be reproduced or transmitted in any form or by any means,electronic or mechanical, including photocopy, recording, or any information storage andretrieval system, without permission in writing from the may be sought directly from Elsevier s Science & Technology RightsDepartment in Oxford, UK: phone: ( 44) 1865 843830, fax: ( 44) 1865 853333,E-mail.

3 You may also complete your request on-line viathe Elsevier homepage ( ), by selecting Support & Contact then Copyright and Permission and then Obtaining Permissions. Library of Congress Cataloging-in-Publication DataApplication Library Cataloguing-in-Publication DataA catalogue record for this book is available from the British : 978-0-12-374090-8 For information on all Academic Press publicationsvisit our Web site at in the United States of America0708091011987654321 Tan: Digital Signaling Processing Perlims Final Proof page 4 3:30am Compositor Name.

4 MRajaContentsPrefacexiiiAbout the Authorxvii1 Introduction to Digital Signal Basic Concepts of Digital Signal Basic Digital Signal Processing Examples in Block Digital Signal Frequency (Spectrum) Overview of Typical Digital Signal Processing in Digital Crossover Audio Interference Cancellation in Speech Coding and Compact-Disc Recording Digital Photo Image Digital Signal Processing Summary122 Signal Sampling and Sampling of Continuous Signal Practical Considerations for Signal Sampling:Anti-Aliasing Practical Considerations for Signal Reconstruction.

5 Anti-Image Filter and Analog-to- Digital Conversion, Digital -to-AnalogConversion, and MATLAB Problems513 Digital Signals and Digital Common Digital Generation of Digital Signals62 Tan: Digital Signaling Processing Perlims Final Proof page 5 3:30am Compositor Name: Linear Time-Invariant, Causal Time Difference Equations and Impulse Format of Difference System Representation Using Its Impulse Bounded-in-and-Bounded-out Digital Problems834 Discrete Fourier Transform and Signal Discrete Fourier Fourier Series Coefficients of Periodic Digital Discrete Fourier Transform Amplitude Spectrum and Power Spectral Estimation Using Window Application to Speech Spectral Fast Fourier Method of Method of Problems1315

6 The Properties of the Inverse Partial Fraction Expansion Using Solution of Difference Equations Using the Problems1566 Digital Signal Processing Systems, Basic Filtering Types,and Digital Filter The Difference Equation and Digital Difference Equation and Transfer Impulse Response, Step Response, and System Response The z-Plane Pole-Zero Plot and Digital Filter Frequency Basic Types of Filtering188 Tan: Digital Signaling Processing Perlims Final Proof page 6 3:30am Compositor Name: Realization of Digital Direct-Form I Direct-Form II Cascade (Series) Parallel Application: Speech Enhancement and Pre-Emphasis of Bandpass Filtering of Finite Impulse Response Filter Impulse Response Filter Transform.

7 Noise Reduction andTwo-Band Digital Noise Digital Sampling Design Design Structures of Finite Impulse Response Phase Accuracy Effects on Finite Impulse Response Filters of Finite Impulse Response (FIR) Design Proceduresand Selection of FIR Filter Design Methods in MATLAB Problems2948 Infinite Impulse Response Filter Impulse Response Filter Transformation Design Filters Using Lowpass Prototype Transformation Transformation and Frequency Transformation Design Butterworth and Chebyshev Filter Prototype Function and Its and Highpass Filter Design and Bandstop Filter Design Examples336 Tan: Digital Signaling Processing Perlims Final Proof page 7 3.

8 30am Compositor Name: Infinite Impulse Response Filter DesignUsing the Cascade : Digital Audio Invariant Design Placement Method for Simple Infinite ImpulseResponse Bandpass Filter Bandstop (Notch) Filter Lowpass Filter Highpass Filter Structures of Infinite Impulse Response of Infinite Impulse Response Filters inDirect-Form I and Direct-Form of Higher-Order Infinite ImpulseResponse Filters via the Cascade : 60-Hz Hum Eliminator and Heart RateDetection Using Coefficient Accuracy Effects on Infinite ImpulseResponse Application.

9 Generation and Detection of Dual-ToneMultifrequency Tones Using Goertzel Multifrequency Tone Multifrequency Tone DetectionUsing the Modified Goertzel Summary of Infinite Impulse Response (IIR) DesignProcedures and Selection of the IIR Filter Design Methodsin Problems4029 Hardware and Software for Digital Signal Signal Processor Signal Processor Hardware Multiplier and Address Signal Processors and and Floating-Point Fixed-Point Floating-Point IEEE Floating-Point Formats434 Tan: Digital Signaling Processing Perlims Final Proof page 8 3:30am Compositor Name.

10 MRajaviiiC O N T E N T Fixed-Point Digital Signal Floating-Point Impulse Response and Infinite Impulse ResponseFilter Implementation in Fixed-Point Signal Processing Programming Overview of TMS320C67x Concept of Real-Time Linear Sample C Adaptive Filters and Introduction to Least Mean Square Adaptive FiniteImpulse Response Basic Wiener Filter Theory and Least Mean Square Algorithm Applications: Noise Cancellation, System Modeling,and Line Noise System Line Enhancement Using Linear Other Application Canceling Periodic Interferences UsingLinear Electrocardiography Interference Echo Cancellation in Long-DistanceTelephone Problems49111 Waveform Quantization and Linear Midtread Analogm-Law Digitalm-Law Examples of Differential Pulse Code Modulation (DPCM)