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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 …
PickleRick's user avatar
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 …
PickleRick's user avatar
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 …
PickleRick's user avatar