# Blind source separation

### Feature Selection and Blind Source Separation in an EEG-Based Brain-Computer Interface

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### Simulative Comparative Analysis of Blind Source Separation Algorithms

**blind**

**separation**of over-determined mixtures. First, performance of separated signals using natural gradient is computed. Then this performance is compared with new IVA BSS ...

6

### Geometrical Interpretation of the PCA Subspace Approach for Overdetermined Blind Source Separation

**blind**

**source**

**separation**where we can use more sensors than sources to obtain a better performance. The discussion focuses mainly on reducing the dimensions of mixed signals ...

11

### COMPARISON OF BLIND SOURCE SEPARATION ALGORITHMS FOR MIXED IMAGES

**blind**signal

**separation**(BSS) [1] in signal processing field has got more and more attention because in the wireless communication, medical analysis, speech recognition, image processing field, it has ...

9

### Denoising Using Blind Source Separation for Pyroelectric Sensors

**Blind**

**Source**

**Separation**(BSS) ...of

**blind**

**source**

**separation**is implemented. One

**source**corresponds to the incidental beam and the other sources are various ...

13

### Non-Cancellation Multistage Kurtosis Maximization with Prewhitening for Blind Source Separation

**blind**

**source**

**separation**algorithms, one using the turbo

**source**extraction algorithm (TSEA), called the NCMS-TSEA, and the other using the fast kurtosis maximization algorithm (FKMA), ...

13

### Exploiting Narrowband Efficiency for Broadband Convolutive Blind Source Separation

**blind**

**source**

**separation**of audio ...to

**blind**

**source**

**separation**, noise reduc- tion,

**source**localization, adaptive beamforming, and acoustic echo ...

9

### FPGA Implementation of Blind Source Separation using FastICA

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### Blind Source Separation via Generalized Eigenvalue Decomposition

**blind**

**source**

**separation**can be formulated as a generalized eigenvalue decomposition under the assumptions of non-Gaussian, non-stationary, or non-white independent ...successful

**blind**...

9

### A Novel Blind Source Separation Approach Based on Invasive Weed Optimization

**Blind**

**Source**

**Separation**(BSS) are mainly based on the gradient, which requires the objective function to be continuous and differentiable, and have some defects such as slow convergence speed or ...

6

### Multiresolution Subband Blind Source Separation: Models and Methods

**blind**

**source**

**separation**你 (MRSBSS). We reviewed the feasibility of adaptively separating mixtures generated by the MRSBSS model ...

8

### Linear State-Space Models for Blind Source Separation

**blind**

**source**

**separation**(BSS) in which unknown

**source**signals are estimated from noisy mixtures. Real world application of BSS techniques are found in as diverse fields as ...

18

### A study of blind source separation using nonnegative matrix factorization

**blind**

**source**

**separation**(SCBSS) which is based on NMF with spectral masks has been ...the

**separation**process even when calculating NMF with fewer iteration, which yields a faster ...

7

### Underdetermined Blind Source Separation in Echoic Environments Using DESPRIT

**blind**

**source**

**separation**algorithm can demix an arbitrary number of speech signals using M = 2 anechoic mixtures of the ...upon

**source**signals which are mixed in an anechoic environment ...

19

### Adaptive Parallel Computation for Blind Source Separation with Systolic Architecture

**Blind**

**Source**

**Separation**(BSS) is to obtain separated sources from convolutive mixture in- puts. Among the various available BSS methods, Independent Component Analysis (ICA) is one of ...

7

### The CAM Software for Nonnegative Blind Source Separation in R-Java

**Blind**

**source**

**separation**(BSS) has proven to be a powerful and widely-applicable tool for the anal- ysis and interpretation of composite patterns in engineering and science (Hillman and Moore, 2007; ...

5

### Blind Source Separation Combining Independent Component Analysis and Beamforming

**blind**

**source**

**separation**(BSS) on a microphone array combining subband independent component analysis (ICA) and ...sound

**source**, (2) null beamforming section based on the estimated DOA, and ...

12

### An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation

**blind**

**source**

**separation**are designed for specific types of mixtures, for example, for post-nonlinear mixtures (for an overview of methods for post- nonlinear mixtures see Jutten and ...

27

### Separation and Localisation of P300 Sources and Their Subcomponents Using Constrained Blind Source Separation

**Blind**

**source**

**separation**(BSS) has been used to identify the ERP subcomponents [11]. The objective of BSS is to sepa- rate a number of sources (component generators) from their mixtures (electrode ...

10

### Blind source separation using statistical nonnegative matrix factorization

**blind**

**source**

**separation**was regarded when a sole recording is ...single-channel

**blind**

**source**

**separation**(SCBSS) has been developed to extract better quality of audio separated ...

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