Digital Filters: Analysis, Design, and Signal Processing Applications
Support Materials
Slide Presentations for Classroom Use
The author has developed a number of slide presentations on topics covered by the textbook for supplementary classroom use or for self-study by students. The presentations are in PDF format and can be downloaded by clicking the links below:
- Chap. 1: Introduction to Digital Signal Processing
- Chap. 1: Analog Filters and Applications
- Chap. 1: Digital Filters and Applications
- Chap. 2: Properties of Discrete-Time Systems
- Chap. 2: Characterization, Network Representation, and Analysis of Discrete-Time Systems
- Chap. 2: Introduction to Time-Domain Analysis of Discrete-Time Systems
- Chap. 2: Convolution Summation
- Chap. 2: State-Space Representation of Discrete-Time Systems
- Chap. 3: The Fourier Transforms: Review, Impulse Functions, Periodic Signals
- Chap. 4: Z Transform and Properties
- Chap. 4: Z-Transform Inversion Techniques
- Chap. 4: Spectral Representation of Discrete-Time Signals
- 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: The Sampling Process: Impulse-Modulated Signals
- Chap. 6: The Sampling Process: Sampling Theorem, Aliasing, and Interrelations
- Chap. 6: The Sampling Process: Processing of Continuous-Time Signals by Using Digital Filters
- Chap. 9: Direct and Direct Canonic Realizations of Digital Filters
- Chap. 9: State-Space, Lattice, Cascade, Parallel, and Transpose Realizations of Digital Filters
- Chap. 10: Properties of Constant-Delay Nonrecursive Filters
- Chap. 10: Design of Nonrecursive Filters by Using the Fourier Series Method
- Chap. 10: Design of Nonrecursive Filters by Using the Fourier Series Method: Design of Interpolators, Differentiators, and Integrators
- Chap. 11: Approximations for Analog Filters: Butterworth, Chebyshev, Inverse-Chebyshev, Elliptic, and Bessel-Thomson Approximations
- Chap. 11: Analog-Filter Transformations
- Chap. 12: Design of Recursive (IIR) Filters: Invariant Impulse-Response Method, the Modified Invariant Impulse-Response Method, and the Matched-z Transformation Method
- Chap. 12: Design of Recursive (IIR) Filters by Using the Bilinear Transformation Method
- Chap. 13: Design of Recursive (IIR) Filters Satisfying Prescribed Specifications by Using the Bilinear 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
End-of-Chapter Solutions
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