Difference between revisions of "Matematika datorikiem"
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Kas jāzina datoriķim no matemātikas un teorijas. |
Kas jāzina datoriķim no matemātikas un teorijas. |
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Šis nebūt nav izsmeļošs saraksts, |
Šis nebūt nav izsmeļošs saraksts, un nav arī sakārtots, |
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bet tēmas un atslēgvārdi, ar ko nācies vairākkārt praktiski saskārties. |
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* Markov model |
* Markov model |
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* PCA - principal component analysis |
* PCA - principal component analysis |
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* Kalman filter |
* Kalman filter |
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* Particle filter |
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* Fourier transformation ([http://en.wikipedia.org/wiki/Fourier_transform wikipedia], [http://www.youtube.com/watch?v=BjBb5IlrNsQ Video lekcija no Stanford U.], [http://www.dspguide.com/ch8.htm DSPGuide par DFT]) |
* Fourier transformation ([http://en.wikipedia.org/wiki/Fourier_transform wikipedia], [http://www.youtube.com/watch?v=BjBb5IlrNsQ Video lekcija no Stanford U.], [http://www.dspguide.com/ch8.htm DSPGuide par DFT]) |
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* Standard deviation |
* Standard deviation |
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* Correlation |
* Correlation |
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* Point spread function |
* Point spread function |
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* Information entropy |
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* Shannon's theorem (Noisy-channel coding theorem) - ([http://en.wikipedia.org/wiki/Noisy-channel_coding_theorem Wikipedia]) |
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* Nyquist rate - ([http://en.wikipedia.org/wiki/Nyquist%E2%80%93Shannon_sampling_theorem Wikipedia]) |
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Revision as of 17:28, 26 May 2013
Kas jāzina datoriķim no matemātikas un teorijas.
Šis nebūt nav izsmeļošs saraksts, un nav arī sakārtots, bet tēmas un atslēgvārdi, ar ko nācies vairākkārt praktiski saskārties.
- Markov model
- Hidden Markov model
- Markov chains
- PCA - principal component analysis
- Kalman filter
- Particle filter
- Fourier transformation (wikipedia, Video lekcija no Stanford U., DSPGuide par DFT)
- Standard deviation
- Expected value
- Convolution
- Correlation
- Point spread function
- Information entropy
- Shannon's theorem (Noisy-channel coding theorem) - (Wikipedia)
- Nyquist rate - (Wikipedia)
