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04901 Advanced Digital Signal Processing
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Engelsk titel: Advanced Digital Signal Processing
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Sprog: engelsk
Point: 2,85 |
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| Type: | kursus på phd-niveau, udbydes under åben uddannelse
Sprog: engelsk |
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Vejledende placering: Sidst i studiet.
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Undervisningsform: Lectures, exercises (Matlab), short presentations by participants.
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Evalueringsform Rapportaflevering
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Karakter: 13-skala
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Institut: Informatik og Matematisk Modellering
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Kursusmål: Design of neural networks:
Lars Kai Hansen. The objective is to provide the participants with operational experience in neural net training and design of networks for simple pattern recognition tasks. Keywords are; feed-forward networks, learning algorithms, network pruning and cross-validation.
Signal processing with neural networks: Jan Larsen.
The objective is provide the participants with methods for design of neural networks for signal processing tasks including time series prediction and system identification. Keywords are; networks architectures, preprocessing, network training, validation and generalization.
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Kursusindhold: Vector quantization with application to speech technology: Steffen Duus Hansen.
The purpose is to provide the participants with the necessary knowledge in order to design vector quantizers for different speech technology applications. Keywords are; the fundamentals of vector quantization, low rate speech coding (2-10 kbit/sec.), Hidden Markov Models, and speech recognition.
Adaptive signal processing, filter banks and wavelets: John Aasted Sørensen. The objective is to provide the participants with algorithms which constitute fundamental building blocks in adaptive signal analysis, separation, compression, and expansion. Keywords are; the stable fast transversal FIR filter (SFTF), singular value decomposition (SVD) and multiple signal classification (MUSIC) for signal separation and noise reduction, filter banks and wavelets for analysis and synthesis.
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