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» Fractional Component Analysis (FCA) for Mixed Signals
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DATE
2000
IEEE
87views Hardware» more  DATE 2000»
13 years 9 months ago
Test Synthesis for Mixed-Signal SOC Paths
Higher levels of integration, the need for test re-use, and the mixed-signal nature of today’s SOC’s necessitate hierarchical test generation and system level test composition...
Sule Ozev, Ismet Bayraktaroglu, Alex Orailoglu
NIPS
2004
13 years 6 months ago
Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis
In contrast to the equivalence of linear blind source separation and linear independent component analysis it is not possible to recover the original source signal from some unkno...
Tobias Blaschke, Laurenz Wiskott
ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
13 years 10 months ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata
IJCSS
2006
116views more  IJCSS 2006»
13 years 5 months ago
Extracting Motor Unit Firing Information by Independent Component Analysis of Surface Electromyogram: A Preliminary Study Using
Decomposition of electromyogram (EMG) provides a valuable means of obtaining motor unit recruitment and firing rate information. The feasibility of decomposing surface EMG signals...
Ping Zhou, M. M. Lowery, W. Zev Rymer
ICA
2004
Springer
13 years 10 months ago
Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
Alexander Ilin, Antti Honkela