Search results with tag "Independent component analysis"
Independent Component Analysis: Algorithms and …
www.cs.helsinki.fiIndependent component analysis (ICA) is a recently developed method in which the goal is to fin d a linear representation of nongaussian data so that the components are statistically independent, or as independent as possible.
Independent Component Analysis (ICA)
sci.utah.eduindependent components; as they are random variables, the most natural way to do this is to assume that each has unit variance: E{s i 2}= 1. Note that this still leaves the ambiguity of the sign: we could multiply the an independent component by −1 without affecting the model. This ambiguity is, fortunately, insignificant in most applications.
Independent Component Analysis
www.cs.helsinki.fi2.8 Stochastic processes * 43 2.8.1 Introduction and definition 43 2.8.2 Stationarity, mean, and autocorrelation 45 2.8.3 Wide-sense stationary processes 46 2.8.4 Time averages and ergodicity 48 2.8.5 Power spectrum 49 2.8.6 Stochastic signal models 50 2.9 Concluding remarks and references 51 Problems 52 3 Gradients and Optimization Methods 57