Digital Signal Processing: Signals, Systems, and Filters

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. 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

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End-of-Chapter Solutions

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