ICA
2010
Springer
13 years 10 months ago
2010
Springer
Scanning process usually degrades digital documents due to the contents of the backside of the scanned manuscript. This is often because of the show-through effect, i.e. the backsi...
ICA
2010
Springer
13 years 10 months ago
2010
Springer
In this work, we tackle the problem of blind extraction of intermittent sources. Our approach is based on the generalized eigenvector decomposition of covariance matrices and exten...
ICA
2010
Springer
13 years 10 months ago
2010
Springer
We introduce the terms strong sub- and super-Gaussianity to refer to the previously introduced class of densities log-concave is x2 and log-convex in x2 respectively. We derive rel...
ICA
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. In this paper, we consider the Independent Component Analysis problem when the hidden sources are non-negative (Non-negative ICA). This problem is formulated as a non-lin...
ICA
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. In brain computer interface based on motor imagery, covariances matrices are widely used through spatial filters computation and other signal processing methods. Covarian...
ICA
2010
Springer
13 years 11 months ago
2010
Springer
We propose combining supervised and unsupervised algorithms in order to improve the performance of multiple-input multipleoutputdigitalcommunication systemswhich makeuseofdecision-...
ICA
2010
Springer
13 years 11 months ago
2010
Springer
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
ICA
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. The recovery of the mixture of an N-dimensional signal generated by N independent processes is a well studied problem (see e.g. [1,10]) and robust algorithms that solve t...
ICA
2010
Springer
14 years 22 days ago
2010
Springer
Abstract. In this paper, we propose a method for blind source separation (BSS) of convolutive audio recordings with short blocks of stationary sources, i.e. dynamically changing so...
ICA
2010
Springer
14 years 22 days ago
2010
Springer
SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...