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Blind Source Separation Exploiting Higher-Order Frequency Dependencies

  • Published:2007-01 Issue:1 Volume:15 Page:70-79
  • ISSN:1558-7916
  • Container-title:IEEE Transactions on Audio, Speech and Language Processing
  • language:
  • Short-container-title:IEEE Trans. Audio Speech Lang. Process.

Author:

Kim Taesu,Attias Hagai T.,Lee Soo-Young,Lee Te-Won

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics

Cited by 260 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Permutation-Alignment Method Using Manifold Optimization for Frequency-Domain Blind Source Separation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. A Computationally Efficient Semi-Blind Source Separation Approach for Nonlinear Echo Cancellation Based on an Element-Wise Iterative Source Steering;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. A novel semi-blind source separation framework towards maximum signal-to-interference ratio;Signal Processing;2024-04

5. Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component from Nonstationary Mixtures—Performance Analysis;IEEE Transactions on Signal Processing;2024
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