Difference between revisions of "Matematika datorikiem"
| Line 8: | Line 8: | ||
* PCA - principal component analysis |
* PCA - principal component analysis |
||
* Kalman filter |
* Kalman filter |
||
* Fourier transformation ([http://en.wikipedia.org/wiki/Fourier_transform wikipedia]) |
* 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]) |
||
* Standard deviation |
* Standard deviation |
||
* Expected value |
* Expected value |
||
Revision as of 13:23, 16 March 2011
Kas jāzina datoriķim no matemātikas un teorijas.
Šis nebūt nav izsmeļošs saraksts, bet tēmas un atslēgvardi ar ko nācies vairākkārt praktiski saskārties.
- Markov model
- Hidden Markov model
- Markov chains
- PCA - principal component analysis
- Kalman filter
- Fourier transformation (wikipedia, Video lekcija no Stanford U., DSPGuide par DFT)
- Standard deviation
- Expected value
- Convolution
- Correlation
- Point spread function
