Front Cover -- Digital Signal Processing: Fundamentals and Applications -- Copyright Page -- Table of 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 -- 2.4 Summary -- 2.5 MATLAB Programs -- 2.6 Problems -- 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 -- 3.7 Problems -- 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 Speech Spectral Estimation -- 4.5 Fast Fourier Transform -- 4.6 Summary -- 4.7 Problems -- Chapter 5. The z-Transform -- 5.1 Definition -- 5.2 Properties of the z-Transform -- 5.3 Inverse z-Transform -- 5.4 Solution of Difference Equations Using the z-Transform -- 5.5 Summary -- 5.6 Problems -- Chapter 6. Digital Signal Processing Systems, Basic Filtering Types, and Digital Filter Realizations -- 6.1 The Difference Equation and Digital Filtering -- 6.2 Difference Equation and Transfer Function -- 6.3 The z-Plane Pole-Zero Plot and Stability -- 6.4 Digital Filter Frequency Response -- 6.5 Basic Types of Filtering -- 6.6 Realization of Digital Filters -- 6.7 Application: Speech Enhancement and Filtering.

6.8 Summary -- 6.9 Problems -- Chapter 7. Finite Impulse Response Filter Design -- 7.1 Finite Impulse Response Filter Format -- 7.2 Fourier Transform Design -- 7.3 Window Method -- 7.4 Applications: 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 Finite Impulse Response (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 -- 8.1 Infinite Impulse Response Filter Format -- 8.2 Bilinear Transformation Design Method -- 8.3 Digital Butterworth and Chebyshev Filter Designs -- 8.4 Higher-Order Infinite Impulse Response Filter Design Using the Cascade Method -- 8.5 Application: 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 -- 8.10 Coefficient Accuracy Effects on Infinite Impulse Response Filters -- 8.11 Application: Generation and Detection of Dual-Tone Multifrequency Tones Using the Goertzel Algorithm -- 8.12 Summary of Infinite Impulse Response (IIR) Design Procedures and Selection of the IIR Filter Design Methods in Practice -- 8.13 Summary -- 8.14 Problems -- Chapter 9. Hardware and Software for Digital Signal Processors -- 9.1 Digital Signal Processor Architecture -- 9.2 Digital Signal Processor Hardware Units -- 9.3 Digital Signal Processors and Manufacturers -- 9.4 Fixed-Point and Floating-Point Formats.

9.5 Finite Impulse Response and Infinite Impulse Response Filter Implementations in Fixed-Point Systems -- 9.6 Digital Signal Processing Programming Examples -- 9.7 Summary -- 9.8 Problems -- Chapter 10. Adaptive Filters and Applications -- 10.1 Introduction to Least Mean Square Adaptive Finite Impulse Response Filters -- 10.2 Basic Wiener Filter Theor y and Least Mean Square Algorithm -- 10.3 Applications: Noise Cancellation, System Modeling, and Line Enhancement -- 10.4 Other Application Examples -- 10.5 Summary -- 10.6 Problems -- Chapter 11. Waveform Quantization and Compression -- 11.1 Linear Midtread Quantization -- 11.2 m-Law Companding -- 11.3 Examples of Differential Pulse Code Modulation (DPCM), Delta Modulation, and Adaptive DPCM G.721 -- 11.4 Discrete Cosine Transform, Modified Discrete Cosine Transform, and Transform Coding in MPEG Audio -- 11.5 Summary -- 11.6 MATLAB Programs -- 11.7 Problems -- Chapter 12. Multirate Digital Signal Processing, Oversampling of Analog-to-Digital Conversion, and Undersampling of Bandpass Signals -- 12.1 Multirate Digital Signal Processing Basics -- 12.2 Polyphase Filter Structure and Implementation -- 12.3 Oversampling of Analog-to-Digital Conversion -- 12.4 Application Example: CD Player -- 12.5 Undersampling of Bandpass Signals -- 12.6 Summary -- 12.7 Problems -- Chapter 13. Image Processing Basics -- 13.1 Image Processing Notation and Data Formats -- 13.2 Image Histogram and Equalization -- 13.3 Image Level Adjustment and Contrast -- 13.4 Image Filtering Enhancement -- 13.5 Image Pseudo-Color Generation and Detection -- 13.6 Image Spectra -- 13.7 Image Compression by Discrete Cosine Transform -- 13.8 Creating a Video Sequence by Mixing Two Images -- 13.9 Video Signal Basics -- 13.10 Motion Estimation in Video -- 13.11 Summary -- 13.12 Problems -- Appendix A: Introduction to the MATLAB Environment.

A.1 Basic Commands and Syntax -- A.2 MATLAB Array and Indexing -- A.3 Plot Utilities: Subplot, Plot, Stem, and Stair -- A.4 MATLAB Script Files -- A.5 MATLAB Functions -- Appendix B: Review of Analog Signal Processing Basics -- B.1 Fourier Series and Fourier Transform -- B.2 Laplace Transform -- B.3 Poles, Zeros, Stability, Convolution, and Sinusoidal Steady-State Response -- B.4 Problems -- Appendix C: Normalized Butterworth and Chebyshev Functions -- C.1 Normalized Butterworth Function -- C.2 Normalized Chebyshev Function -- Appendix D: Sinusoidal Steady-State Response of Digital Filters -- D.1 Sinusoidal Steady-State Response -- D.2 Properties of the Sinusoidal Steady-State Response -- Appendix E: Finite Impulse Response Filter Design Equations by the Frequency Sampling Design Method -- Appendix F: Some Useful Mathematical Formulas -- Bibliography -- Answers to Selected Problems -- Index.