ES101_TN Signal processing

Signal and Image Technology

Year (Module) : 1A (TC)
Lecturer :Monia TURKI
Teaching staff :Monia TURKI

Objectives

This course introduces the main basic signal processing tools used in electronics. After a brief presentation of the linear systems principles, the problematics of digitization (sampling theorem, etc.) as well as the quantization noise phenomena will be adressed. The various transforms usually applied to the digitized signals will be presented, notably the Discrete Fourier Transform and the corresponding fast algorithms (FFT). The digital filtering will then be set out. The methods of analysis and synthesis of the FIR and IIR filters wil be detailed.
In the second part of the course, the issues of the stochastic processes and their statistical characterization wil be tackled in a rather intuitive manner.
The course will end with a small student project, allowing them to put in practice their theoretical knowledge in the domain of audio signals (they'll have to restore signals intentionally perturbed).

Keywords

Linear systems, sampling, quantification, digital filtering, fast Fourier transform, random process.

Last update: 19/01/2012, by guest
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