A Bastys "Digital signal processing, I"

Catalog description:

Signal processing, sound and biomedical signals, digital filtering, discrete transforms.

Current Text:

Alan V. Oppenheim, Ronald W. Schafer, Digital Signal Processing, Prentice-Hall, 1975.

Additional Reference:

R. Krivickas, Skaitmeninis signalø apdorojimas, Vilnius, Mokslas, 1984.

Goals:

The students should learn the theory and practice of the main topics of one-dimensional digital signal processing. They also should show practical ability to apply orthogonal discrete transforms for approximation, compression, denoisening, spectrum analysis and etc. of speech, music and biomedical signals. The students should receive some experience in application of MATLAB for digital signal processing.

Content:

• Analogous, discrete and digital signals.
• The z-transform.
• The discrete Fourier transform.
• Digital Filter design techniques.
• Fast filtering algorithms.
• Discrete Hilbert transform.
• Discrete random signals.
• Power spectrum estimation.
• Chaos and Fractals.

Required Background:

Course of mathematical analysis, linear algebra, introduction to probability theory, programming.