Introduction to Digital Signal Processing using MatLab with Application to Digital Communications

Preface
Contents
Chapter 1: Introduction
	1.1 What Is Digital Signal Processing
	1.2 A Few Applications of Digital Signal Processing
		1.2.1 Audio/Speech Processing
		1.2.2 Digital Communications
		1.2.3 Digital Image Processing
		1.2.4 Digital Signal/Image Processing in Medicine
	1.3 A Typical Digital Signal Processing System
	1.4 Continuous-Time Signals and Systems
		1.4.1 Continuous-Time Signals in the Time Domain
		1.4.2 Continuous-Time Systems
		1.4.3 Frequency Domain Representation of Signals and Systems
	1.5 Summary
	1.6 Problems
	References
Chapter 2: Discrete-Time Signals and Systems
	2.1 Introduction
	2.2 Typical Discrete-Time Signals
	2.3 Discrete-Time Systems
	2.4 Convolution Sum
	2.5 Linear Difference Equation
	2.6 Sampling a Continuous-Time Signal
	2.7 Conversion of Continuous-Time Signals to Digital Signals
	2.8 Performance of A/D Converters
	2.9 Summary
	2.10 Problems
	References
Chapter 3: Z-Transform
	3.1 Z-Transform Definition
	3.2 Properties of Z-Transform
	3.3 Z-Transform and Difference Equation
	3.4 Poles and Zeros
	3.5 Inverse Z-Transform
	3.6 MATLAB Examples
	3.7 Summary
	3.8 Problems
	References
Chapter 4: Frequency Domain Representation of Discrete-Time Signals and Systems
	4.1 Introduction
	4.2 Discrete-Time Fourier Transform
		4.2.1 DTFT and Z-Transform
		4.2.2 DTFT of Some Typical Sequences
	4.3 Inverse Discrete-Time Fourier Transform
	4.4 Properties of DTFT
	4.5 Frequency Domain Representation of LTI Discrete-Time Systems
		4.5.1 Steady State Response of LTI Discrete-Time Systems
		4.5.2 Concept of Filtering
		4.5.3 Calculation of DTFT Using MATLAB
	4.6 Summary
	4.7 Problems
	References
Chapter 5: Discrete Fourier Transform
	5.1 Introduction
	5.2 Definition of DFT
	5.3 Relationship Between DTFT and DFT
	5.4 Inverse DFT
	5.5 Effect of Sampling the DTFT on the Reconstructed Sequence
	5.6 Circular Convolution
	5.7 Properties of the DFT
	5.8 Linear Convolution Using Circular Convolution
	5.9 Linear Convolution of a Finite-Length Sequence with an Infinite-Length Sequence
		5.9.1 Overlap and Add
		5.9.2 Overlap and Save
		5.9.3 DFT Leakage
	5.10 Discrete Transforms
		5.10.1 Unitary Transform
		5.10.2 Orthogonal Transform
		5.10.3 Discrete Cosine Transform
		5.10.4 Hadamard Transform
	5.11 Summary
	5.12 Problems
	References
Chapter 6: IIR Digital Filters
	6.1 Introduction
	6.2 Impulse Invariance Technique
	6.3 Design of IIR Digital Filters in the Frequency Domain
		6.3.1 Digital Filter Frequency Specifications
		6.3.2 Design Using Bilinear Transformation
		6.3.3 Butterworth Lowpass IIR Digital Filter
		6.3.4 Chebyshev Type I Lowpass IIR Digital Filter
		6.3.5 Chebyshev Type II Lowpass IIR Digital Filter
		6.3.6 Elliptic Lowpass IIR Digital Filter
	6.4 Design of IIR Digital Filters Using Frequency Transformation
		6.4.1 Lowpass-to-Lowpass Conversion
		6.4.2 Lowpass-to-Highpass Conversion
		6.4.3 Lowpass-to-Bandpass and Bandstop Conversion
	6.5 Computer-Aided Design of IIR Digital Filters
	6.6 Group Delay
		6.6.1 Group Delay Equalization
	6.7 Simulation Using Simulink
	6.8 Summary
	6.9 Problems
	References
Chapter 7: FIR Digital Filters
	7.1 Types of Linear-Phase FIR Filters
	7.2 Linear-Phase FIR Filter Design
		7.2.1 Lowpass FIR Filter Design
		7.2.2 Gibbs Phenomenon
		7.2.3 Windowed Lowpass Linear-Phase FIR Filter Design
			7.2.3.1 Bartlett Window
			7.2.3.2 Haan Window
			7.2.3.3 Hamming Window
			7.2.3.4 Blackman Window
			7.2.3.5 Determination of FIR Filter Order
			7.2.3.6 Adjustable Window Functions
				7.2.3.6.1 Dolph-Chebyshev (DC) Window
				7.2.3.6.2 Kaiser Window
		7.2.4 Design of a Highpass Linear-Phase FIR Filter
		7.2.5 Design of a Bandpass Linear-Phase FIR Filter
		7.2.6 Design of a Bandstop Linear-Phase FIR Filter
	7.3 Computer-Aided Design of Linear-Phase FIR Filters
	7.4 Discrete-Time Hilbert Transformer
	7.5 Summary
	7.6 Problems
	References
Chapter 8: Digital Filter Structures
	8.1 Signal Flow Graph
	8.2 IIR Digital Filter Structures
		8.2.1 Direct Form I and II Structures
		8.2.2 Parallel Structure
		8.2.3 Cascade Structure
	8.3 FIR Filter Structures
		8.3.1 Direct Form Structure of an FIR Filter
		8.3.2 Cascade Structure of an FIR Digital Filter
		8.3.3 Linear-Phase FIR Filter Structure
		8.3.4 Polyphase FIR Filter Structure
	8.4 Finite Word Length Effect
		8.4.1 Fixed-Point Binary Representation
		8.4.2 Floating-Point Binary Representation
		8.4.3 Filter Coefficient Sensitivity
		8.4.4 Error Due to Finite Word Length Arithmetic
		8.4.5 Limit Cycles in IIR Digital Filters
	8.5 FIR Lattice Structure
	8.6 Summary
	8.7 Problems
	References
Chapter 9: Fast Fourier Transform
	9.1 Brute-Force Computation of DFT
	9.2 Fast Fourier Transform
		9.2.1 Decimation-in-Time FFT
		9.2.2 Decimation-in-Frequency FFT
		9.2.3 Inverse FFT
	9.3 Spectral Analysis of Discrete-Time Sequences
		9.3.1 Autocorrelation of a Discrete-Time Sequence
		9.3.2 Relation Between Autocorrelation and DTFT of a Discrete-Time Sequence
		9.3.3 Autocorrelation of Periodic Sequences
		9.3.4 Short-Time Fourier Transform
	9.4 Fixed-Point Implementation of FFT
	9.5 Sliding Discrete Fourier Transform
	9.6 Energy Compaction Property Revisited
	9.7 Zoom FFT
	9.8 Chirp Fourier Transform
	9.9 Summary
	9.10 Problems
	References
Chapter 10: DSP in Communications
	10.1 Introduction
	10.2 Sampling Rate Conversion
		10.2.1 Upsampling
		10.2.2 Downsampling
	10.3 Oversampled ADC
		10.3.1 Transition Bandwidth Reduction
		10.3.2 Analysis of Oversampled ADC
	10.4 Oversampled DAC
	10.5 Cancelation of Inter-Symbol Interference
		10.5.1 Pulse Shaping
		10.5.2 Equalization
		10.5.3 Matched Filter
		10.5.4 Phase-Locked Loop
		10.5.5 OFDM
		10.5.6 Software-Defined Radio
	10.6 Summary
	10.7 Problems
	References
Index