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Blind Source Separation/Evidence
Method evidence record

Blind Source Separation

Blind Source Separation (BSS) is a signal processing technique that recovers original signals from their unknown mixture without detailed knowledge of the mixing process. Through the framework of Independent Component Analysis (ICA), BSS recovers statistically independent source signals using only the assumption that sources are independent and non-Gaussian. First formalized by Pierre Comon in 1994, BSS has become essential for applications from audio separation to biomedical signal analysis.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Blind Source Separation (BSS) Analysis
Taxonomic method record · process-pipeline / signal-processing
  • Comon, P. (1994). Independent Component Analysis, a New Concept? Signal Processing, 36(3), 287–314. · DOI 10.1016/0165-1684(94)90029-9
  • Hyvarinen, A., Karhunen, J., & Oja, E. (2001). Independent Component Analysis. John Wiley & Sons. · URL
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyAdaptive LMS Filtermachine-suggested · Relational suggestion, not evidence.Same method familyPower Spectral Density Estimationmachine-suggested · Relational suggestion, not evidence.Same method familyShort-Time Fourier Transformmachine-suggested · Relational suggestion, not evidence.Same method familyWiener Filtermachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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