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Lessons

The course has ten lessons, of which eight are regular problem solving classes and two are computer lessons.

Recommended problems for the lessons

The exercise collection is available on the course literature page.
# Subject(s) Exercise collection Sayood
1 Entropy, Markov sources 1.1-1.4, 1.13-1.15 2.1, 2.3
2 Entropy, Markov sources, Huffman coding. 2.3-2.7 3.4, 3.5
3 Arithmetic coding, LZ coding 2.11-2.13, 2.15-2.17 4.5, 4.6, 5.3-5.7
4 Rate-distortion. Scalar quantization. 4.1, 4.2, 4.4, 4.6, 3.2, 3.3 9.3, 9.6
5 Scalar quantization, vector quantization. 4.7-4.12 -
7 Linear predictive coding. 5.1-5.5 11.6
8 Transform coding 6.1-6.5 13.1-13.3
10 Subband and wavelet coding. 6.6-6.8 -

Computer lessons

The exercises for the computer lessons will be made available on the course literature page.
# Subject(s)
6 Quantization
9 Linear prediction, transform coding

Informationsansvarig: Harald Nautsch
Senast uppdaterad: 2017-04-24