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 selfstudy 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: ZTransform Inversion Techniques

Chap. 3: Spectral Representation of DiscreteTime Signals

Chap. 4: Properties of DiscreteTime Systems

Chap. 4: Characterization, Network Representation, and Analysis of
DiscreteTime Systems

Chap. 4: Introduction to TimeDomain Analysis of DiscreteTime Systems

Chap. 4: Convolution Summation

Chap. 4: StateSpace Representation of DiscreteTime Systems

Chap. 5: Transfer Function of DiscreteTime Systems

Chap. 5: Stability of DiscreteTime Systems

Chap. 5: TimeDomain Analysis of DiscreteTime Systems Using the Z Transform

Chap. 5: FrequencyDomain Analysis of DiscreteTime Systems

Chap. 5: Aliasing in DiscreteTime 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: The Sampling Process: Poisson's Summation Formula, ImpulseModulated
Signals

Chap. 6: The Sampling Process: Sampling Theorem, Aliasing, Interrelations

Chap. 6: The Sampling Process: Processing of ContinuousTime Signals by Using
Digital Filters

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

Chap. 8: StateSpace, Lattice, Cascade, Parallel, and Transpose Realizations
of Digital Filters

Chap. 9: Properties of ConstantDelay 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,
InverseChebyshev, Elliptic, and BesselThomson Approximations

Chap. 10: AnalogFilter Transformations

Chap. 11: Design of Recursive (IIR) Filters: Invariant ImpulseResponse
Method, the Modified Invariant ImpulseResponse Method, and the Matchedz
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 Bilinear Transformation Method

Chap. 15: Design of Nonrecursive (FIR) Filters by Using the
WeightedChebyshev 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: QuasiNewton and Minimax Algorithms

Chap. 16: Design of Recursive (IIR) Filters by Using Optimization
Methods: Recursive Filters and Equalizers
EndofChapter Solutions
The table below provides solutions for the endofchapter problems. These materials are intended
for instructors of recognized academic institutions and are, therefore, encrypted under password.
To evaluate the style and quality of the solutions, please click:
Sample Solutions
If you have adopted the textbook, plan to do so, or you are just considering it, and you
would like to get a password, please complete the
Instructor's Form and forward it to the author
by clicking the email link below:
NOTE : Access to the Updated Solutions for the Previous Edition, see below, requires a new password. Users who prefer to continue using the Previous Edition can obtain the new password by writing to the author.
