Tole Sutikno
Associate Professor, Dept. of Electrical Eng., Universitas Ahmad Dahlan

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Digital Signal Processing



Digital Signal Processing: Signals, Systems, and Filters


Support Materials

Chap. 1: Introduction to Digital Signal Processing

Chap. 1: Analog Filters and Applications

Chap. 1: Digital Filters and Applications

Chap. 3: z Transform and Properties

Chap. 3: z-Transform Inversion Techniques

Chap. 3: Spectral Representation of Discrete-Time Signals

Chap. 4: Properties of Discrete-Time Systems

Chap. 4: Characterization, Network Representation, and Analysis of Discrete-Time Systems

Chap. 4: Introduction to Time-Domain Analysis of Discrete-Time Systems

Chap. 4: Convolution Summation

Chap. 4: State-Space Representation of Discrete-Time Systems

Chap. 5: Transfer Function of Discrete-Time Systems

Chap. 5: Stability of Discrete-Time Systems

Chap. 5: Time-Domain Analysis of Discrete-Time Systems Using the Z Transform

Chap. 5: Frequency-Domain Analysis of Discrete-Time Systems

Chap. 5: Aliasing in Discrete-Time Systems

Chap. 5: Frequency Response of Digital Filters

Chap. 5: Transfer functions for Digital Filters

Chap. 6: Fourier Transforms of Impulse Functions and Periodic Signals

Chap. 6: Time-Domain and Frequency-Domain (Spectral) Relationships between Continuous-Time, Impulse-Modulated, and Discrete-Time Signals

Chap. 6: The Sampling Theorem

Chap. 6: Processing of Continuous-Time Signals by Using Digital Filters

Chap. 8: Direct and Direct Canonic Realizations of Digital Filters

Chap. 8: State-Space, Lattice, Cascade, Parallel, and Transpose Realizations of Digital Filters

Chap. 9: Properties of Constant-Delay Nonrecursive (FIR) Filters

Chap. 9: Design of Nonrecursive (FIR) Filters by Using the Fourier Series Method

Chap. 9: Design of Nonrecursive (FIR) Filters by Using the Fourier Series Method: Design of Interpolators, Differentiators, and Integrators

Chap. 10: Approximations for Analog Filters: Butterworth, Chebyshev, Inverse-Chebyshev, Elliptic, and Bessel-Thomson Apporximations

Chap. 10: Analog-Filter Transformations

Chap. 11: Design of Recursive (IIR) Filters: Invariant Impulse-Response Method, the Modified Invariant Impulse-Response Method, and the Matched-z Transformation Method

Chap. 11: Design of Recursive (IIR) Filters by Using the Bilinear Transformation Method

Chap. 12: Design of Recursive (IIR) Filters Satisfying Prescribed Specifications by Using the Billinear Transformation Method

Chap. 15: Design of Nonrecursive (FIR) Filters by Using the Weighted-Chebyshev Method

Chap. 16: Design of Recursive (IIR) Filters by Using Optimization Methods: Newton Algorithm

Chap. 16: Design of Recursive (IIR) Filters by Using Optimization Methods: Quasi-Newton and Minimax Algorithms

Chap. 16: Design of Recursive (IIR) Filters by Using Optimization Methods: Recursive Filters and Equalizers



Tole Sutikno - Electrical Engineering Department Copyright 2013