Separation

Image blind separation

Image blind separation
  1. What is image separation?
  2. What is blind source separation problem?
  3. What is blind source separation in machine learning?

What is image separation?

Signal and image separation is an important processing step for accurate image reconstruction, which is increasingly applied to many medical imaging applications and communication systems. Most of the conventional separation approaches are based on frequency domain and time domain.

What is blind source separation problem?

Blind Source Separation (BSS) refers to a problem where both the sources and the mixing methodology are unknown, only mixture signals are available for further separation process. In several situations it is desirable to recover all individual sources from the mixed signal, or at least to segregate a particular source.

What is blind source separation in machine learning?

3.3 BSS and its application in BCI

BSS refers to a problem where the sources and the mixing matrix are indistinct and only observation signals are available for the separation procedure. The objective is to separate unknown and independent sources using observation signals.

Fourier Can we control the minimum of a continuous signal $x$ when some Fourier coefficients are constant?
Can we control the minimum of a continuous signal $x$ when some Fourier coefficients are constant?
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Kalman How to set initial values of the elements in the covariance matrices in the Kalman filter?
How to set initial values of the elements in the covariance matrices in the Kalman filter?
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Filter Trying to implement a digital A frequency filter
Trying to implement a digital A frequency filter
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