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Algorithms and Architectures |
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Simple LU and QR Based Non-orthogonal Matrix Joint Diagonalization |
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1 | (7) |
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Separation of Nonlinear Image Mixtures by Denoising Source Separation |
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8 | (8) |
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Second-Order Separation of Multidimensional Sources with Constrained Mixing System |
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16 | (8) |
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Fast Kernel Density Independent Component Analysis |
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24 | (8) |
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Csiszar's Divergences for Non-negative Matrix Factorization: Family of New Algorithms |
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32 | (8) |
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Second-Order Blind Identification of Underdetermined Mixtures |
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40 | (8) |
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Differential Fast Fixed-Point BSS for Underdetermined Linear Instantaneous Mixtures |
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48 | (9) |
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Equivariant Algorithms for Estimating the Strong-Uncorrelating Transform in Complex Independent Component Analysis |
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57 | (9) |
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Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics |
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66 | (8) |
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Romis Ribeiro de Faissol Attux |
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Joao Marcos Travassos Romano |
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Model Structure Selection in Convolutive Mixtures |
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74 | (8) |
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Estimating the Information Potential with the Fast Gauss Transform |
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82 | (8) |
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K-EVD Clustering and Its Applications to Sparse Component Analysis |
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90 | (8) |
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An EM Method for Spatio-temporal Blind Source Separation Using an AR-MOG Source Model |
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98 | (8) |
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Markovian Blind Image Separation |
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106 | (9) |
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New Permutation Algorithms for Causal Discovery Using ICA |
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115 | (8) |
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Eigenvector Algorithms with Reference Signals for Frequency Domain BSS |
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123 | (9) |
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Sparse Coding for Convolutive Blind Audio Source Separation |
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132 | (8) |
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ICA-Based Binary Feature Construction |
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140 | (9) |
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A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces |
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149 | (8) |
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Estimating Non-Gaussian Subspaces by Characteristic Functions |
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157 | (8) |
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Independent Vector Analysis: An Extension of ICA to Multivariate Components |
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165 | (8) |
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A One-Bit-Matching Learning Algorithm for Independent Component Analysis |
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173 | (8) |
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Blind Separation of Underwater Acoustic Signals |
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181 | (8) |
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Partitioned Factor Analysis for Interference Suppression and Source Extraction |
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189 | (9) |
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Recursive Generalized Eigendecomposition for Independent Component Analysis |
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198 | (8) |
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Recovery of Sparse Representations by Polytope Faces Pursuit |
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206 | (8) |
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ICA Based Semi-supervised Learning Algorithm for BCI Systems |
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214 | (8) |
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State Inference in Variational Bayesian Nonlinear State-Space Models |
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222 | (8) |
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Quadratic MIMO Contrast Functions for Blind Source Separation in a Convolutive Context |
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230 | (8) |
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A Canonical Genetic Algorithm for Blind Inversion of Linear Channels |
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238 | (8) |
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Efficient Separation of Convolutive Image Mixtures |
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246 | (8) |
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Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets |
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254 | (8) |
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Minimum Support ICA Using Order Statistics. Part I: Quasi-range Based Support Estimation |
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262 | (8) |
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Minimum Support ICA Using Order Statistics. Part II: Performance Analysis |
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270 | (8) |
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Separation of Periodically Time-Varying Mixtures Using Second-Order Statistics |
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278 | (8) |
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An Independent Component Ordering and Selection Procedure Based on the MSE Criterion |
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286 | (9) |
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Riemannian Optimization Method on the Flag Manifold for Independent Subspace Analysis |
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295 | (8) |
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A Two-Stage Based Approach for Extracting Periodic Signals |
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303 | (8) |
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ICA by PCA Approach: Relating Higher-Order Statistics to Second-Order Moments |
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311 | (8) |
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Separability of Convolutive Mixtures: Application to the Separation of Combustion Noise and Piston-Slap in Diesel Engine |
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319 | (8) |
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Blind Signal Separation on Real Data: Tracking and Implementation |
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327 | (8) |
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Compression of Multicomponent Satellite Images Using Independent Components Analysis |
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335 | (8) |
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Fixed-Point Complex ICA Algorithms for the Blind Separation of Sources Using Their Real or Imaginary Components |
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343 | (9) |
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Blind Estimation of Row Relative Degree Via Constrained Mutual Information Minimization |
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352 | (8) |
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Undoing the Affine Transformation Using Blind Source Separation |
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360 | (8) |
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Source Separation of Astrophysical Ice Mixtures |
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368 | (8) |
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Improvement on Multivariate Statistical Process Monitoring Using Multi-scale ICA |
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376 | (8) |
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Global Noise Elimination from ELF Band Electromagnetic Signals by Independent Component Analysis |
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384 | (8) |
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Blues from Music: BLind Underdetermined Extraction of Sources from Music |
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392 | (8) |
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On the Performance of a HOS-Based ICA Algorithm in BSS of Acoustic Emission Signals |
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400 | (6) |
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Juan-Jose Gonzalez de-la-Rosa |
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Two Applications of Independent Component Analysis for Non-destructive Evaluation by Ultrasounds |
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406 | (8) |
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Blind Spatial Multiplexing Using Order Statistics for Time-Varying Channels |
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414 | (8) |
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Semi-blind Equalization of Wireless MIMO Frequency Selective Communication Channels |
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422 | (8) |
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Comparison of BSS Methods for the Detection of α-Activity Components in EEG |
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430 | (8) |
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Analysis on EEG Signals in Visually and Auditorily Guided Saccade Task by FICAR |
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438 | (8) |
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Cogito Componentiter Ergo Sum |
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446 | (8) |
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Kernel Independent Component Analysis for Gene Expression Data Clustering |
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454 | (8) |
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Topographic Independent Component Analysis of Gene Expression Time Series Data |
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462 | (8) |
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Blind Source Separation of Cardiac Murmurs from Heart Recordings |
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470 | (8) |
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Derivation of Atrial Surface Reentries Applying ICA to the Standard Electrocardiogram of Patients in Postoperative Atrial Fibrillation |
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478 | (8) |
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Wavelet Denoising as Preprocessing Stage to Improve ICA Performance in Atrial Fibrillation Analysis |
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486 | (9) |
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Performance Study of Convolutive BSS Algorithms Applied to the Electrocardiogram of Atrial Fibrillation |
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495 | (8) |
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Brains and Phantoms: An ICA Study of fMRI |
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503 | (8) |
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Comparison of ICA Algorithms for the Isolation of Biological Artifacts in Magnetoencephalography |
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511 | (8) |
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Heriberto Zavala-Fernandez |
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Automatic De-noising of Doppler Ultrasound Signals Using Matching Pursuit Method |
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519 | (8) |
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Speech and Signal Processing |
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A Novel Normalization and Regularization Scheme for Broadband Convolutive Blind Source Separation |
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527 | (9) |
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A Robust Method to Count and Locate Audio Sources in a Stereophonic Linear Instantaneous Mixture |
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536 | (8) |
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Convolutive Demixing with Sparse Discrete Prior Models for Markov Sources |
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544 | (8) |
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Independent Component Analysis for Speech Enhancement with Missing TF Content |
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552 | (9) |
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Harmonic Source Separation Using Prestored Spectra |
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561 | (8) |
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Underdetermined Convoluted Source Reconstruction Using LP and SOCP, and a Neural Approximator of the Optimizer |
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569 | (8) |
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Utilization of Blind Source Separation Algorithms for MIMO Linear Precoding |
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577 | (8) |
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Speech Enhancement Based on the Response Features of Facilitated EI Neurons |
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585 | (8) |
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Blind Separation of Sparse Sources Using Jeffrey's Inverse Prior and the EM Algorithm |
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593 | (8) |
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Solution of Permutation Problem in Frequency Domain ICA, Using Multivariate Probability Density Functions |
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601 | (8) |
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ICA-Based Speech Features in the Frequency Domain |
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609 | (8) |
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Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance |
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617 | (8) |
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Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS |
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625 | (8) |
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Under-Determined Source Separation: Comparison of Two Approaches Based on Sparse Decompositions |
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633 | (8) |
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Separation of Mixed Audio Signals by Source Localization and Binary Masking with Hilbert Spectrum |
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641 | (8) |
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ICA and Binary-Mask-Based Blind Source Separation with Small Directional Microphones |
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649 | (9) |
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Blind Deconvolution with Sparse Priors on the Deconvolution Filters |
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658 | (8) |
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Estimating the Spatial Position of Spectral Components in Audio |
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666 | (8) |
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Separating Underdetermined Convolutive Speech Mixtures |
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674 | (8) |
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Two Time-Frequency Ratio-Based Blind Source Separation Methods for Time-Delayed Mixtures |
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682 | (9) |
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On Calculating the Inverse of Separation Matrix in Frequency-Domain Blind Source Separation |
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691 | (9) |
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Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation |
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700 | (8) |
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Speech Enhancement in Short-Wave Channel Based on ICA in Empirical, Mode Decomposition Domain |
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708 | (6) |
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Robust Preprocessing of Gene Expression Microarrays for Independent Component Analysis |
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714 | (8) |
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Single-Channel Mixture Decomposition Using Bayesian Harmonic Models |
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722 | (9) |
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Enhancement of Source Independence for Blind Source Separation |
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731 | (8) |
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Speech Enhancement Using ICA with EMD-Based Reference |
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739 | (8) |
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Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS) |
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747 | (8) |
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On the Identifiability Testing in Blind Source Separation Using Resampling Technique |
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755 | (10) |
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On a Sparse Component Analysis Approach to Blind Source Separation |
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765 | (8) |
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Post-nonlinear Underdetermined ICA by Bayesian Statistics |
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773 | (8) |
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Relationships Between the FastICA Algorithm and the Rayleigh Quotient Iteration |
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781 | (9) |
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Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation |
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790 | (9) |
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Multivariate Scale Mixture of Gaussians Modeling |
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799 | (8) |
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Sparse Deflations in Blind Signal Separation |
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807 | (8) |
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Global Analysis of Log Likelihood Criterion |
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815 | (8) |
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A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Feature Ranking |
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823 | (8) |
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Analysis of Source Sparsity and Recoverability for SCA Based Blind Source Separation |
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831 | (7) |
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Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching Condition |
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838 | (8) |
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Kernel Principal Components Are Maximum Entropy Projections |
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846 | (8) |
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Super-Gaussian Mixture Source Model for ICA |
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854 | (8) |
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Instantaneous MISO Separation of BPSK Sources |
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862 | (6) |
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Blind Partial Separation of Instantaneous Mixtures of Sources |
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868 | (8) |
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Contrast Functions for Blind Source Separation Based on Time-Frequency Information-Theory |
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876 | (9) |
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Information Theoretic Nonstationary Source Separation |
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885 | (8) |
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Local Convergence Analysis of FastICA |
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893 | (8) |
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Testing Significance of Mixing and Demixing Coefficients in ICA |
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901 | (8) |
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Cross-Entropy Optimization for Independent Process Analysis |
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909 | (8) |
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Uniqueness of Non-Gaussian Subspace Analysis |
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917 | (9) |
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A Maximum Likelihood Approach to Nonlinear Convolutive Blind Source Separation |
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926 | (8) |
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Visual and Sensory Processing |
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On Separation of Semitransparent Dynamic Images from Static Background |
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934 | (7) |
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Facial Expression Recognition by ICA with Selective Prior |
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941 | (9) |
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An Easily Computable Eight Times Overcomplete ICA Method for Image Data |
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950 | (8) |
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The InfoMin Principle for ICA and Topographic Mappings |
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958 | (8) |
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Non-negative Matrix Factorization Approach to Blind Image Deconvolution |
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966 | (9) |
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| Keyword Index |
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975 | (2) |
| Author Index |
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977 | |
Other versions by this Author