Digital signal processing: a computer science perspective

Digital Signal Processing: Computer Science Perspective (2nd Ed.)
	Copyright
	Contents
	Preface
	Ch1 Introductions
		1.1 Prehistory of DSP
			Exercise
		1.2 Applications of Signal Processing
			Exercises
		1.3 Analog Signal Processing
			Exercises
		1.4 Digital Signal Processing
			Exercises
	Part1 Signal Analysis
		Ch2 Signals
			2.1 Signal Defined
				Exercises
			2.2 Simplest Signals
				Exercises
			2.3 Characteristics of Signals
				Exercises
			2.4 Signal Arithmetic
				Exercises
			2.5 Vector Space of All Possible Signals
				Exercises
			2.6 Time & Frequency Domains
				Exercises
			2.7 Analog & Digital Domains
				Exercises
			2.8 Sampling
				Exercises
			2.9 Digitization
				Exercises
			2.10 Antialiasing & Reconstruction Filters
				Exercises
			2.11 Practical Analog to Digital Conversion
				Exercises
			Bibliographical Notes
		Ch3 Spectrum of Periodic Signals
			3.1 Newton's Discovery
				Exercises
			3.2 Frequency Components
				Exercises
			3.3 Fourier's Discovery
				Exercises
			3.4 Representation by Fourier Series
				Exercises
			3.5 Gibbs Phenomenon
				Exercises
			3.6 Complex FS & Negative Frequencies
				Exercises
			3.7 Properties of Fourier Series
				Exercises
			3.8 Fourier Series of Rectangular Wave
				Exercises
			Bibliographical Notes
		Ch4 Frequency Domain
			4.1 From Fourier Series to Fourier Transform
				Exercises
			4.2 Fourier Transform Examples
				Exercises
			4.3 FT Properties
				Exercises
			4.4 Uncertainty Theorem
				Exercises
			4.5 Power Spectrum
				Exercises
			4.6 Short Time Fourier Transform (STFT)
				Exercises
			4.7 Discrete Fourier Transform (DFT)
				Exercises
			4.8 DFT Properties
				Exercises
			4.9 Further Insights into DFT
				Exercises
			4.10 z Transform
				Exercises
			4.11 More on z Transform
				Exercises
			4.12 Other Meaning of Frequency
				Exercises
			Bibliographical Notes
		Ch5 Noise
			5.1 Unpredictable Signals
				Exercises
			5.2 Naive View of Noise
				Exercises
			5.3 Noise Reduction by Averaging
				Exercises
			5.4 Pseudorandom Signals
				Exercises
			5.5 Chaotic Signals
				Exercises
			5.6 Stochastic Signals
				Exercises
			5.7 Spectrum of Random Signals
				Exercises
			5.8 Stochastic Approximation Methods
				Exercises
			5.9 Probabilistic Algorithms
				Exercises
			Bibliographical Notes
	Part2 Signal Processing Systems
		Ch6 Systems
			6.1 System Defined
				Exercises
			6.2 Simplest Systems
				Exercises
			6.3 Simplest Systems with Memory
				Exercises
			6.4 Characteristics of Systems
				Exercises
			6.5 Filters
				Exercises
			6.6 Moving Averages in Time Domain
				Exercises
			6.7 Moving Averages in Frequency Domain
				Exercises
			6.8 Why Convolve?
				Exercises
			6.9 Purely Recursive Systems
				Exercises
			6.10 Difference Equations
				Exercises
			6.11 Sinusoid's Equation
				Exercises
			6.12 System Identification--Easy Case
				Exercises
			6.13 System Identification--Hard Case
				Exercises
			6.14 System Identification in z Domain
				Exercises
			Bibliographical Notes
		Ch7 Filters
			7.1 Filter Specification
				Exercises
			7.2 Phase & Group Delay
				Exercises
			7.3 Special Filters
				Exercises
			7.4 Feedback
				Exercises
			7.5 ARMA Transfer Function
				Exercises
			7.6 Pole-Zero Plots
				Exercises
			7.7 Classical Filter Design
				Exercises
			7.8 Digital Filter Design
				Exercises
			7.9 Spatial Filtering
				Exercises
			Bibliographical Notes
		Ch8 Nonfilters
			8.1 Nonlinearities
				Exercises
			8.2 Clippers & Slicers
				Exercises
			8.3 Median Filters
				Exercises
			8.4 Multilayer Nonlinear Systems
				Exercises
			8.5 Mixers
				Exercises
			8.6 Phase-Locked Loops
				Exercises
			8.7 Time Warping
				Exercises
			Bibliographical Notes
		Ch9 Correlation
			9.1 Signal Comparison & Detection
				Exercises
			9.2 Crosscorrelation & Autocorrelation
				Exercises
			9.3 Wiener-Khintchine Theorem
				Exercises
			9.4 Frequency Domain Signal Detector
				Exercises
			9.5 Correlation & Convolution
				Exercises
			9.6 Application to Radar
				Exercises
			9.7 Wiener Filter
				Exercises
			9.8 Correlation & Prediction
				Exercises
			9.9 Linear Predictive Coding
				Exercises
			9.10 Levinson-Durbin Recursion
				Exercises
			9.11 Line Spectral Pairs
				Exercises
			9.12 Higher-Order Signal Processing
				Exercises
			Bibliographical Notes
		Ch10 Adaptation
			10.1 Adaptive Noise Cancellation
				Exercises
			10.2 Adaptive Echo Cancellation
				Exercises
			10.3 Adaptive Equalization
				Exercises
			10.4 Weight Space
				Exercises
			10.5 LMS Algorithm
				Exercises
			10.6 Other Adaptive Algorithms
				Exercises
			Bibliographical Notes
		Ch11 Biological Signal Processing
			11.1 Weber's Discovery
				Exercises
			11.2 Birth of Psychophysics
				Exercises
			11.3 Speech Production
				Exercises
			11.4 Speech Perception
				Exercises
			11.5 Brains & Neurons
				Exercises
			11.6 Essential Neural Network
				Exercises
			11.7 Simplest Model Neuron
				Exercises
			11.8 Man vs Machine
				Exercises
			Bibliographical Notes
	Part3 Architectures & Algorithms
		Ch12 Graphical Techniques
			12.1 Graph Theory
				Exercises
			12.2 DSP Flow Graphs
				Exercises
			12.3 DSP Graph Manipulation
				Exercises
			12.4 RAX Externals
				Exercises
			12.5 RAX Internals
				Exercises
			Bibliographical Notes
		Ch13 Spectral Analysis
			13.1 Zero Crossings
				Exercises
			13.2 Bank of Filters
				Exercises
			13.3 Periodogram
				Exercises
			13.4 Windows
				Exercises
			13.5 Finding a Sinusoid in Noise
				Exercises
			13.6 Finding Sinusoids in Noise
				Exercises
			13.7 IIR Methods
				Exercises
			13.8 Walsh Functions
				Exercises
			13.9 Wavelets
				Exercises
			Bibliographical Notes
		Ch14 Fast Fourier Transform
			14.1 Complexity of DFT
				Exercises
			14.2 Two Preliminary Examples
				Exercises
			14.3 Derivation of DIT FFT
				Exercises
			14.4 Other Common FFT Algorithms
				Exercises
			14.5 Matrix Interpretation of FFT
				Exercises
			14.6 Practical Matters
				Exercises
			14.7 Special Cases
				Exercises
			14.8 Goertzel's Algorithm
				Exercises
			14.9 FIFO Fourier Transform
				Exercises
			Bibliographical Notes
		Ch15 Digital Filter Implementation
			15.1 Computation of Convolutions
				Exercises
			15.2 FIR Filtering in Frequency Domain
				Exercises
			15.3 FIR Structures
				Exercises
			15.4 Polyphase Filters
				Exercises
			15.5 Fixed Point Computation
				Exercises
			15.6 IIR Structures
				Exercises
			15.7 FIR vs. IIR
			Bibliographical Notes
		Ch16 Function Evaluation Algorithms
			16.1 Sine & Cosine Generation
				Exercises
			16.2 Arctangent
				Exercises
			16.3 Logarithm
				Exercises
			16.4 Square Root & Pythagorean Addition
				Exercises
			16.5 CORDIC Algorithms
				Exercises
			Bibliographical Notes
		Ch17 Digital Signal Processors
			17.1 Multiply-&-Accumulate (MAC)
				Exercises
			17.2 Memory Architecture
				Exercises
			17.3 Pipelines
				Exercises
			17.4 Interrupts, Ports
				Exercises
			17.5 Fixed & Floating Point
				Exercises
			17.6 Real-Time Filter
				Exercises
			17.7 DSP Programming Projects
			17.8 DSP Development Teams
			Bibliographical Notes
	Part4 Applications
		Ch18 Communications Signal Processing
			18.1 History of Communications
				Exercises
			18.2 Analog Modulation Types
				Exercises
			18.3 AM
				Exercises
			18.4 FM & PM
				Exercises
			18.5 Data Communications
				Exercises
			18.6 Information Theory
				Exercises
			18.7 Communications Theory
				Exercises
			18.8 Channel Capacity
				Exercises
			18.9 Error Correcting Codes
				Exercises
			18.10 Block Codes
				Exercises
			18.11 Convolutional Codes
				Exercises
			18.12 PAM & FSK
				Exercise
			18.13 PSK
				Exercises
			18.14 Modem Spectra
				Exercises
			18.15 Timing Recovery
				Exercises
			18.16 Equalization
				Exercises
			18.17 QAM
				Exercises
			18.18 QAM Slicers
				Exercises
			18.19 Trellis Coding
				Exercises
			18.20 Telephone-Grade Modems
				Exercises
			18.21 Beyond Shannon Limit
				Exercises
			Bibliographical Notes
		Ch19 Speech Signal Processing
			19.1 LPC Speech Synthesis
				Exercises
			19.2 LPC Speech Analysis
				Exercises
			19.3 Cepstrum
				Exercises
			19.4 Other Features
				Exercises
			19.5 Pitch Tracking & Voicing Determination
				Exercises
			19.6 Speech Compression
				Exercises
			19.7 PCM
				Exercises
			19.8 DPCM, DM & ADPCM
				Exercises
			19.9 Vector Quantization
				Exercises
			19.10 SBC
				Exercises
			19.11 LPC Speech Compression
				Exercises
			19.12 CELP Coders
				Exercises
			19.13 Telephone-Grade Speech Coding
				Exercises
			Bibliographical Notes
	AppA Whirlwind Exposition of Mathematics
		A.1 Numbers
			Exercises
		A.2 Integers
			Exercises
		A.3 Real Numbers
			Exercises
		A.4 Complex Numbers
			Exercises
		A.5 Abstract Algebra
			Exercises
		A.6 Functions & Polynomials
			Exercises
		A.7 Elementary Functions
			Exercises
		A.8 Trigonometric (& Similar) Functions
			Exercises
		A.9 Analysis
			Exercises
		A.10 Differential Equations
			Exercises
		A.11 Dirac Delta
			Exercises
		A.12 Approximation by Polynomials
			Exercises
		A.13 Probability Theory
			Exercises
		A.14 Linear Algebra
		A.15 Matrices
			Exercises
		A.16 Solution of Linear Algebraic Equations
			Exercises
	Index
	Backcover