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On real and complex valued l/sub 1/-norm minimization for overcomplete blind source separation

https://doi.org/10.1109/aspaa.2005.1540175
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Overcomplete BSS for Convolutive Mixtures Based on Hierarchical Clustering
inferredcites →https://doi.org/10.1080/10556789908805766openalex-snapshot
Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
inferredcites →https://doi.org/10.1109/icassp.2004.1326377openalex-snapshot
Optimal sparse representations in general overcomplete bases
inferredcites →https://doi.org/10.1109/isspa.2003.1224952openalex-snapshot
Mathematics in independent component analysis
inferredcites →https://doi.org/10.1109/sice.2002.1195729openalex-snapshot
Minimal distortion principle for blind source separation
inferredcites →https://doi.org/10.1109/tsp.2003.822284openalex-snapshot
Performance Analysis of Minimum $ell_1$ -Norm Solutions for Underdetermined Source Separation
inferredcites →https://doi.org/10.1162/089976600300015826openalex-snapshot
Learning Overcomplete Representations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Underdetermined Blind Source Separation Using Acoustic Arrays
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Underdetermined Convoluted Source Reconstruction Using LP and SOCP, and a Neural Approximator of the Optimizer
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Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and L1-Norm Minimization
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Complex Nonconvex l p Norm Minimization for Underdetermined Source Separation
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Identifying Single Source Data for Mixing Matrix Estimation in Instantaneous Blind Source Separation
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Robot with Two Ears Listens to More than Two Simultaneous Utterances by Exploiting Harmonic Structures
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Accurate Spectral Estimation of Non-periodic Signals Based on Compressive Sensing
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Oracle estimators for the benchmarking of source separation algorithms
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Sparseness-Based 2CH BSS using the EM Algorithm in Reverberant Environment
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Underdetermined blind source separation based on Continuous Density Hidden Markov Models
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Underdetermined instantaneous blind source separation of sparse signals with temporal structure using the state-space model
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A quaternion-valued reweighted minimisation approach to sparse vector sensor array design
inferred← citeshttps://doi.org/10.1109/icics.2015.7459893openalex-snapshot
A time-frequency preprocessing method for blind source separation of speech signal with temporal structure
inferred← citeshttps://doi.org/10.1109/iros.2010.5651078openalex-snapshot
Exploiting harmonic structures to improve separating simultaneous speech in under-determined conditions
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Blind Separation of Anechoic Under-determined Speech Mixtures using Multiple Sensors
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High Dimensional Channel Estimation Using Deep Generative Networks
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A Sparsity-Based Method for the Estimation of Spectral Lines From Irregularly Sampled Data
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Compressed Representation of High Dimensional Channels using Deep Generative Networks
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Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation
inferred← citeshttps://doi.org/10.1109/taslp.2014.2327298openalex-snapshot
Sparse Array Design for Wideband Beamforming With Reduced Complexity in Tapped Delay-Lines
inferred← citeshttps://doi.org/10.1109/tsp.2007.895998openalex-snapshot
Underdetermined Anechoic Blind Source Separation via $\ell^{q}$-Basis-Pursuit With $q≪1$
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A Linear Source Recovery Method for Underdetermined Mixtures of Uncorrelated AR-Model Signals Without Sparseness
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Location and Orientation Optimization for Spatially Stretched Tripole Arrays Based on Compressive Sensing
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MAP-Based Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and -Norm Minimization
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Design of Fixed Beamformers Based on Vector-Sensor Arrays
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Fast and simple iterative algorithm of lp-norm minimization for under-determined speech separation
inferred← citeshttps://doi.org/10.32657/10356/72445openalex-snapshot
Separation of underdetermined speech mixture based on sparse Bayesian recovery
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A Compressive Sensing Based Approach to Sparse Wideband Array Design
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How To Use Real-Valued Sparse Recovery Algorithms For Complex-Valued Sparse Recovery?
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