Course
Basic DSP Ideas, Signals and Systems
Short description
The purpose of this course is to illustrate the operation
of basic DSP ideas, algorithms and systems, as well as some specific
features of estimation and filtering processes. Each user of the program
package is able:
 to choose an object
of interest (process, element, filter structure, type of converter etc.)
 to adjust some
parameters in order to obtain particular effects
 to observe the
working algorithm of filtering, conversion, estimation etc.
 to answer some
questions and compare his statements with right conclusions.
The MATLAB environment
(Version 7, Release 14 – product of The MathWorks) is used as simulation
tool. In particular the software package "Simulink" for modeling,
simulation and analyzing dynamical systems, as well as the collection of
block libraries "DSP Blockset", the premier tool for digital
signal processing algorithm simulationand code generation, is applied. Also
the corresponding toolboxes (DSP, Communications etc.) are to be recommended.
Lessons
1.
Statistical Properties of Random Signals (Part I
– Probability Density Estimation)
2.
Statistical Properties of Random Signals (Part II
– Estimation of Autocorrelation)
3.
Spectral Analysis of Deterministic Signals
4.
Power Spectral Density Estimation
5.
Sampling, Interpolation and Signal Recovery
6.
Digital Filtering (FIR and IIR Filters)
7.
Interpolation and Decimation of Signals
8.
Eliminating Impulsive Disturbances Using Median
Filters
9.
Quantization Errors
§
Literature – see Glossary
