Difference between revisions of "Matematika datorikiem"

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Kas jāzina datoriķim no matemātikas un teorijas.
 
Kas jāzina datoriķim no matemātikas un teorijas.
  
Šis nebūt nav izsmeļošs saraksts, bet tēmas un atslēgvardi ar ko nācies vairākkārt praktiski saskārties.
+
Šis nebūt nav izsmeļošs saraksts, un nav arī sakārtots,
 +
bet tēmas un atslēgvārdi, ar ko nācies vairākkārt praktiski saskarties.
  
 
* Markov model
 
* Markov model
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* PCA - principal component analysis
 
* PCA - principal component analysis
 
* Kalman filter
 
* Kalman filter
* Fourier transformation ([http://en.wikipedia.org/wiki/Fourier_transform wikipedia])
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* Particle filter
 +
* 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
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* Correlation
 
* Correlation
 
* Point spread function
 
* Point spread function
 +
* Information entropy
 +
* Shannon's theorem (Noisy-channel coding theorem) - ([http://en.wikipedia.org/wiki/Noisy-channel_coding_theorem Wikipedia])
 +
* Nyquist rate - ([http://en.wikipedia.org/wiki/Nyquist%E2%80%93Shannon_sampling_theorem Wikipedia])

Latest revision as of 00:43, 8 May 2016

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 saskarties.

  • 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)