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» Fractional Component Analysis (FCA) for Mixed Signals
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ICPR
2002
IEEE
14 years 5 months ago
Fractional Component Analysis (FCA) for Mixed Signals
This paper proposes the fractional component analysis (FCA), whose goal is to decompose the observed signal into component signals and recover their fractions. The uniqueness of o...
Asanobu Kitamoto
ICA
2007
Springer
13 years 8 months ago
Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem
We propose a new method for estimating the mixing matrix, A, in the linear model x(t) = As(t), t = 1, . . . , T, for the problem of underdetermined Sparse Component Analysis (SCA)....
Nima Noorshams, Massoud Babaie-Zadeh, Christian Ju...
ICASSP
2010
IEEE
12 years 11 months ago
Modified hierarchical clustering for sparse component analysis
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
Nasser Mourad, James P. Reilly
ISCAS
2008
IEEE
169views Hardware» more  ISCAS 2008»
13 years 11 months ago
Sigma-delta learning for super-resolution independent component analysis
— Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing and highdimensional...
Amin Fazel, Shantanu Chakrabartty
DATE
2002
IEEE
169views Hardware» more  DATE 2002»
13 years 9 months ago
Built-In Dynamic Current Sensor for Hard-to-Detect Faults in Mixed-Signal Ics
There are some types of faults in analogue and mixed signal circuits which are very difficult to detect using either voltage or current based test methods. However, it is possible...
Yolanda Lechuga, Román Mozuelos, Mar Mart&i...