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