| 1. |
September 20
|
Lecture:
Introduction. Linear algebra and Matlab review. Polynomials and Taylor series. Euler's identity.
[PDF]
Selected linear algebra resources:
- you own lecture notes from 11LA or a similar course
- free Czech lecture notes by Petr Olšák
- free English textbooks just randomly found and not reviewed:
- for videos, try Khan Academy, MIT OpenCourseWare, and similar, and consult also YouTube
Selected Matlab resources:
- search in webpages of lectures 11MSP, 11MAG (in Czech), or 20SK (in English)
- Czech text Jemný úvod do Matlabu a Simulinku (the initial part about Matlab is enough),
- books by Cleve Moler available from MathWorks web (in English),
- partially outdated Czech book by Pavel Karban Výpočty a simulace v programech Matlab a Simulink (Computer Press, 2006, 224 pp., ISBN: 978-80-251-1448-3),
- educational modules at UNSW a HIT (in English),
- Google "Úvod do Matlabu" or "Introduction to Matlab" and similar keywords,
- the same applies to YouTube, there is a plethora of video tutorials for Matlab and some of them are actually quite good.
Recording of the on-line session from 2020 is here. Recording of the session from 2021 is in your MS Teams and a copy will be available here.
|
| 2. |
September 27
|
Lecture:
Vector spaces, signals, and images. Signal discretization, quantization and aliasing. Series and Fourier Series.
[PDF]
Computer session:
Signal discreatization and quantization. Fourier series.
Additional resources: Matlab script, Jupyter/iPython notebook pre-rendered into HTML.
This lecture and computer session are self-paced. The accompanying video can be downloaded here (in Czech) and here (in English).
|
| 3. |
October 4
|
Lecture:
Vector spaces of continuous and discrete waveforms. Discrete Fourier basis and Discrete Fourier Transform. Sampling. Aliasing.
[PDF]
Computer session:
Review of topics from Computer sessions 1 and 2.
|
| 4. |
October 11
|
Lecture:
DFT of non-stationary signals. Short-Time Fourier Transform. Windowing and localisation.
[PDF]
Computer session:
Application of the DFT. Windowing. Spectrogram.
|
| 5. |
October 18
|
Lecture:
Short-Time Fourier Transform. Spectrograms. Time- and frequency resolution.
[PDF]
Computer session:
The spectrum of a non-stationary signal vs. its spectrogram.
The flute signal for download: [WAV]
|
| 6. |
October 25
|
Lecture:
Data processing review from 11MAMY: linear and logistic regression, regressor selection, regularization, logistic classification, discriminant analysis, principal component analysis, clustering
[PDF]
Computer session:
Statistical data processing review [PDF]
Data archive [ZIP]
|
| 7. |
November 1
|
Lecture:
Statistical data processing review: Classification.
Bootstrap.
[PDF]
Computer session:
Data archive [ZIP]
Online by request. The session has been recorded and the recording split into part 1 (classification) and part 2 (bootstrap).
|
| 8. |
November 8
|
Lecture:
Principal Components Regression. Partial Least Squares regression.
[PDF]
Computer session:
Data archive [ZIP]
Soprano recorder samples for analysis [ZIP]
Online by request. The session has been recorded and the recording split into part 1 and part 2.
|
|
9
|
November 15
|
Lecture:
Introduction to Neural Networks
[PDF]
Online by request. The session has been recorded and the recording split into part 1 and part 2.
|
| 10. |
November 22
|
Lecture:
Convolutional Neural Networks
MIT lecture slides [PDF] and video [YT]
Online by request. The session has been recorded and the recording split into part 1 and part 2.
|
| - |
November 29
|
Cancelled.
|
| 11. |
December 6
|
Lecture:
Recurrent Neural Networks. Long-Short Term Memeory ANNs. Time series prediction.
MIT lecture slides [PDF] and video [YT]
Computer session:
Time series prediction using LSTM ANN.
Online by request. The session has been recorded and the recording split into part 1 and part 2.
|
| 12. |
December 13
|
Project consultations
Assignments 5 and 6 [PDF]
Assignment 7 [PDF]
|
| 13. |
January
3
|
Project consultations
|
