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Digital signalbehandling og matematik 4 (Forår 2008)

Kursuskode : EDSM4-U01
ECTS Point : 10 Status : Obligatorisk
Placering : 4. semester Timer pr. uge : 8
Længde : 1 semester Undervisningssprog : Engelsk hvis der er engelsksprogede tilstede
Hovedindhold : The main content is divided into four parts: A, B, C and D:

A. Discrete time Fourier analysis:
Discrete time Fourier transform (DTFT) and inverse (IDTFT). Discrete Fourier transform (DFT/FFT) and inverse (IDFT/IFFT). Practical spectral analysis: Spectrum analysers, frequency resolution, amplitude precision, window functions, leakage, zero padding.

B. Probability and stochastic signals:
Probability: definitions, calculus and Probability Functions. Stochastic Signals. Elementary Information Theory and Source Coding.

C. Speech Coding in telecommunication:
Quantization noise, linear Pulse Code Modulation (PCM) and companding. Differential PCM (DPCM) and linear prediction, adaptive DPCM (ADPCM), Pitch-excited linear predictictive coding (LPC). Possibly modern speech coding principles and standards (GSM , CELP etc).

D. Automatic Speech Recognition:
Cepstrum Analysis, Feature Extraction, Time Warping, Model Word production, Distance computation and Word Recognition.
Undervisningsform : In the beginning of the semester the teaching will be a mixture of classroom lecturing and problem work solving, partly based on MATLAB as the simulation tool. This form makes up 50% to 75% of the scheduled time in the semester, distributed as 100% in the beginning of the semester and 0% towards the end of the semester. In relation to the contents items A and B two large course assignments have to be carried out and documented in writing. In relation to the contents item C and D a large course assignment involving speech coding practise and design of a speech recognizer has to be carried out and documented in a report.
Krævede forudsætninger : Documented knowledge similar to DSM2
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