# Blind Source Separation Techniques

{
  "id": "T11447",
  "title": "Blind Source Separation Techniques",
  "url": "/topics/T11447",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "55532f0a1980693e",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "36183006759242975",
  "address_version": "morton4x16-v1",
  "coordinates": [
    3,
    17,
    1711,
    11447
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

This cluster of papers focuses on blind source separation and independent component analysis, with applications in signal decomposition, biomedical signals, and processing of convolutive mixtures. The methods often utilize sparse representation and exploit the temporal structure of the signals, particularly in the frequency domain.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T11447

No owner-reviewed local answer yet.