| 1 Signals and Signal Processing 1.1 Characterization and Classification of Signals 1.2 Typical Signal Processing Operations 1.3 Examples of Typical Signals 1.4 Typical Signal Processing Applications 1.5 Why Digital Signal Processing? 2 Discrete-Time Signals and Systems 2.1 Discrete-Time Signals 2.2 Typical Sequences and Sequence Representation 2.3 Discrete-Time Systems 2.4 Time-Domain Characterization of LTI Discrete-Time Systems 2.5 Classification of LTI Discrete-Time Systems 2.9 Correlation of Signals 2.6 Summary 2.7 Problems 2.8 Matlab Exercises 3 Discrete-Time Fourier Transform 3.1 The Continuous-Time Fourier Transform 3.2 The Discrete-Time Fourier Transform 3.3 Discrete-Time Fourier Transform Theorems 3.4 DTFT Computation Using Matlab 3.5 The Unwrapped Phase Function 3.6 The Frequency Response of an LTI Discrete-Time System 3.7 Phase and Group Delays 3.8 Summary 3.9 Problems 3.10 Matlab Exercises 4 Digital Processing of Continuous-Time Signals 4.1 Introduction 4.2 Sampling of Continuous-Time Signals 4.3 Sampling of Bandpass Signals 4.4 Analog Lowpass Filter Design 4.5 Design of Analog Highpass Filters 4.6 Anti-Aliasing Filter Design 4.7 Reconstruction Filter Design 4.8 Summary 4.9 Problems 4.10 Matlab Exercises 5 Finite-Length Discrete Transforms 5.1 Orthogonal Transforms 5.2 The Discrete Fourier Transform 5.3 Relation Between the Fourier Transform and the DFT, and Their Inverses 5.4 Operations on Finite-Length Sequences 5.5 Classifications of Finite-Length Sequences 5.6 DFT Symmetry Relations 5.7 Discrete Fourier Transform Theorems 5.8 Fourier-Domain Filtering 5.9 Computation of the DFT of Real Sequences 5.10 Linear Convolution using the DFT 5.11 Discrete Cosine Transform 5.12 Summary 5.13 Problems 5.14 Matlab Exercises 6 z-Transform 6.1 Definition and Properties 6.2 Rational z-Transforms 6.3 Region of Convergence of a Rational z-Transform 6.4 The Inverse z-Transform 6.5 z-Transform Properties 6.6 Computation of the Convolution Sum of Finite-Length Sequences 6.7 The Transfer Function 6.8 Summary 6.9 Problems 6.10 Matlab Exercises 7 LTI Discrete-Time Systems in the Transform Domain 7.1 Transfer Function Classification Based on Magnitude Characteristics 7.2 Transfer Function Classification Based on Phase Characteristics 7.3 Types of linear-Phase Transfer Functions 7.4 Simple Digital Filters 7.5 Digital Two-Pairs 7.6 Summary 7.7 Problems 7.8 Matlab Exercises 8 Digital Filter Structures 8.1 Block Diagram Representation 8.2 Equivalent Structures 8.3 Basic FIR Digital Filter Structures 8.4 Basic IIR Digital Filter Structures 8.5 Realization of Basic Structures Using Matlab 8.6 Allpass Filters 8.7 Computational Complexity of Digital Filter Structures 8.8 Summary 8.9 Problems 8.10 Matlab Exercises 9 IIR Digital Filter Design 9.1 Preliminary Considerations 9.2 Bilinear Transformation Method of IIR Filter Design 9.3 Design of Lowpass IIR Digital Filters 9.4 Design of Highpass, Bandpass, and Bandstop IIR Digital Filters 9.5 Spectral Transformations of IIR Filters 9.6 IIR Digital Filter Design Using Matlab 9.7 Computer-Aided Design of IIR Digital Filters 9.8 Summary 9.9 Problems 9.10 Matlab Exercises 10 FIR Digital Filter Design 10.1 Preliminary Considerations 10.2 FIR Filter Design Based onWindowed Fourier Series 10.3 Computer-Aided Design of Equiripple Linear-Phase FIR Filters 10.4 Design of Minimum-Phase FIR Filters 10.5 FIR Digital Filter Design Using Matlab 10.6 Summary 10.7 Problems 10.8 Matlab Exercises 11 DSP Algorithm Implementation 11.1 Basic Issues …… Bibliography |
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