Underdetermined blind separation of non-disjoint signals in time-frequency domain based on matrix diagonalization
From MaRDI portal
Publication:537253
DOI10.1016/j.sigpro.2010.12.015zbMath1213.94039OpenAlexW1996390423MaRDI QIDQ537253
Wenli Jiang, Fengbo Lu, Zhi-Tao Huang
Publication date: 19 May 2011
Published in: Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.12.015
matrix diagonalizationmixing matrix estimationnon-disjointed in the time-frequency domainunderdetermined blind separation
Cites Work
- A time-frequency blind signal separation method applicable to underdetermined mixtures of dependent sources
- K-hyperline clustering learning for sparse component analysis
- Separating more sources than sensors using time-frequency distributions
- Blind Source Separation by Sparse Decomposition in a Signal Dictionary
- Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm
- An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities
- Underdetermined Blind Separation of Nondisjoint Sources in the Time-Frequency Domain
- Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures
- Blind Identification of Underdetermined Mixtures by Simultaneous Matrix Diagonalization
- Underdetermined Blind Source Separation Based on Subspace Representation
- Blind Underdetermined Mixture Identification by Joint Canonical Decomposition of HO Cumulants
- Underdetermined Blind Source Separation Based on Relaxed Sparsity Condition of Sources
- Bayesian blind separation of generalized hyperbolic processes in noisy and underdeterminate mixtures
- $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
- Exploitation of source nonstationarity in underdetermined blind source separation with advanced clustering techniques
- Blind Separation of Speech Mixtures via Time-Frequency Masking
- Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ 1 minimization
- Underdetermined blind source separation using sparse representations
This page was built for publication: Underdetermined blind separation of non-disjoint signals in time-frequency domain based on matrix diagonalization
