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ICA
2007
Springer

315views Signal Processing» more ICA 2007»

Compressed Sensing and Source Separation

14 years 6 months ago

Download www.see.ed.ac.uk

Abstract. Separation of underdetermined mixtures is an important problem in signal processing that has attracted a great deal of attention over the years. Prior knowledge is requir...

Thomas Blumensath, Mike E. Davies

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Id	Views	Title	Status

1	315	Compressed Sensing and Source Separation	claim
2	213	Morphological Diversity and Sparsity in Blind Source Separation	claim
3	211	Conjugate Gamma Markov Random Fields for Modelling Nonstationary Sources	claim
4	191	Two Improved Sparse Decomposition Methods for Blind Source Separation	claim
5	185	Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization	claim
6	183	Robust Independent Component Analysis Using Quadratic Negentropy	claim
7	182	Dictionary Learning for L1-Exact Sparse Coding	claim
8	179	Optimization on the Orthogonal Group for Independent Component Analysis	claim
9	177	Compact Representations of Market Securities Using Smooth Component Extraction	claim
10	176	Identifiability Conditions and Subspace Clustering in Sparse BSS	claim
11	173	Infinite Sparse Factor Analysis and Infinite Independent Components Analysis	claim
12	172	Subspaces of Spatially Varying Independent Components in fMRI	claim
13	154	First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results	claim
14	154	ICA in Boolean XOR Mixtures	claim
15	151	Comparative Speed Analysis of FastICA	claim
16	147	Perception of Transformation-Invariance in the Visual Pathway	claim
17	145	A Robust Complex FastICA Algorithm Using the Huber M-Estimator Cost Function	claim
18	145	Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem	claim
19	144	Gradient Convolution Kernel Compensation Applied to Surface Electromyograms	claim
20	141	Blind Source Separation of a Class of Nonlinear Mixtures	claim
21	136	Is the General Form of Renyi's Entropy a Contrast for Source Separation?	claim
22	135	Bayesian Estimation of Overcomplete Independent Feature Subspaces for Natural Images	claim
23	133	Text Clustering on Latent Thematic Spaces: Variants, Strengths and Weaknesses	claim
24	132	Blind Separation of Instantaneous Mixtures of Dependent Sources	claim
25	130	Modeling Perceptual Similarity of Audio Signals for Blind Source Separation Evaluation	claim
26	129	On Separation of Signal Sources Using Kernel Estimates of Probability Densities	claim
27	128	Phase-Aware Non-negative Spectrogram Factorization	claim
28	126	Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities	claim
29	121	Discovering Convolutive Speech Phones Using Sparseness and Non-negativity	claim
30	121	The Role of High Frequencies in Convolutive Blind Source Separation of Speech Signals	claim
31	120	Solving the Permutation Problem in Convolutive Blind Source Separation	claim
32	117	Extraction of Atrial Activity from the ECG by Spectrally Constrained ICA Based on Kurtosis Sign	claim
33	116	Underdetermined Source Separation Using Mixtures of Warped Laplacians	claim
34	115	Linear Prediction Based Blind Source Extraction Algorithms in Practical Applications	claim
35	113	Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm	claim
36	110	Mutual Interdependence Analysis (MIA)	claim
37	110	Signal Separation by Integrating Adaptive Beamforming with Blind Deconvolution	claim
38	109	Blind Separation of Cyclostationary Sources Using Joint Block Approximate Diagonalization	claim
39	108	Supervised and Semi-supervised Separation of Sounds from Single-Channel Mixtures	claim
40	108	Independent Subspace Analysis Is Unique, Given Irreducibility	claim
41	108	Blind Instantaneous Noisy Mixture Separation with Best Interference-Plus-Noise Rejection	claim
42	107	Probabilistic Amplitude Demodulation	claim
43	107	'Shadow BSS' for Blind Source Separation in Rapidly Time-Varying Acoustic Scenes	claim
44	99	Pivot Selection Strategies in Jacobi Joint Block-Diagonalization	claim

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