Mixed signals separation

1. How do you separate two signals?
2. Which algorithm is used to separate mixed signals from different sources?
3. What is separation algorithm?
4. How does blind source separation work?

How do you separate two signals?

You can then get the separated signals by creating two copies (one for each component you want to recognize) of the Fourier-domain signal, zeroing unwanted Fourier coefficients (zeroing different sets of coefficients in each of the two copies), and reconstructing the two signals.

Which algorithm is used to separate mixed signals from different sources?

Single Channel Blind Source Separation (SCBSS) has had many algorithms for artificial mixed signal, where the number of mixing sources is assumed to be known, and mixed signal used in validation algorithm only contains two signal sources.

What is separation algorithm?

A separation algorithm is a procedure for generating cutting planes. Up to now, only a few polynomial-time separation algorithms were known for the Boolean quadric and cut polytopes. These polytopes arise in connection with zero–one quadratic programming and the max-cut problem, respectively.

How does blind source separation work?

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.