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Process / pipelineSource separation

盲源分离

盲源分离(BSS)是一种信号处理技术,可在不了解混合过程的详细信息的情况下,从未知混合物中恢复原始信号。通过独立成分分析(ICA)框架,BSS仅利用源信号独立且非高斯性的假设来恢复统计上独立的源信号。BSS由Pierre Comon于1994年首次正式提出,已成为从音频分离到生物医学信号分析等应用的关键技术。

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来源

  1. Comon, P. (1994). Independent Component Analysis, a New Concept? Signal Processing, 36(3), 287–314. DOI: 10.1016/0165-1684(94)90029-9
  2. Hyvarinen, A., Karhunen, J., & Oja, E. (2001). Independent Component Analysis. John Wiley & Sons. link

如何引用本页

ScholarGate. (2026, June 3). Blind Source Separation (BSS) Analysis. ScholarGate. https://scholargate.app/zh/signal-processing/blind-source-separation

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被引用于

ScholarGateBlind Source Separation (Blind Source Separation (BSS) Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/signal-processing/blind-source-separation · 数据集: https://doi.org/10.5281/zenodo.20539026