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Machine learning, a branch of artificial intelligence, is the science of getting computer systems to meaningfully act without being explicitly programmed by human.
7
votes
2
answers
255
views
Learning parameters of noise and filter coefficients from data where data and noise both hav...
Assume $X$ and $N$ are two sets of vectors (observations) from two different normal distributions, where $X$ represents clean data and $N$ represents noise; and $A$ a projection matrix of a filter. t …
0
votes
Learning parameters of noise and filter coefficients from data where data and noise both hav...
Just to summarize the answers given for this question, here I provide a visualization of different methods carried out to learn the projection matrix $A$ given clean samples $X_i$ and noisy samples $Y …
3
votes
1
answer
134
views
Using kalman filter when samples don't have time index
Assume $X$ and $N$ are two sets of observations from two different normal distribution, where $X$ represents clean data and $N$ represents noise; and $A$ a projection matrix of a filter and the relati …