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» Finite sample effects of the fast ICA algorithm
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IJON
2007
119views more  IJON 2007»
13 years 4 months ago
Finite sample effects of the fast ICA algorithm
Many algorithms for independent component analysis (ICA) and blind source separation (BSS) can be considered particular instances of a criterion based on the sum of two terms: C(Y...
Sergio Bermejo
ICASSP
2008
IEEE
13 years 11 months ago
On quantifying the effects of noncircularity on the complex fastica algorithm
The complex fast independent component analysis (c-FastICA) algorithm is one of the most popular methods for solving the ICA problem with complex-valued data. In this study, we ex...
Mike Novey, Tülay Adali
ICASSP
2008
IEEE
13 years 11 months ago
A new mutual information measure for independent component alalysis
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
Jen-Tzung Chien, Hsin-Lung Hsieh, Sadaoki Furui
ICCAD
2003
IEEE
154views Hardware» more  ICCAD 2003»
14 years 1 months ago
Fast, Accurate Static Analysis for Fixed-Point Finite-Precision Effects in DSP Designs
Translating digital signal processing (DSP) software into its finite-precision hardware implementation is often a timeconsuming task. We describe a new static analysis technique ...
Claire Fang Fang, Rob A. Rutenbar, Tsuhan Chen
TSP
2010
12 years 11 months ago
Sampling piecewise sinusoidal signals with finite rate of innovation methods
We consider the problem of sampling piecewise sinusoidal signals. Classical sampling theory does not enable perfect reconstruction of such signals since they are not bandlimited. ...
Jesse Berent, Pier Luigi Dragotti, Thierry Blu