Titlebook: Independent Component Analysis and Signal Separation; 8th International Co Tülay Adali,Christian Jutten,Allan Kardec Barros Conference proc

不斷的變動

Stationary Subspace Analysiscomponents, for example, cannot be estimated reliably under distribution changes because the classic assumption of a stationary data generating process is violated. Conversely, understanding the nature of observed non-stationary behaviour often lies at the heart of a scientific question. To this end

FLAIL

Reference Based Contrast Functions in a Semi-blind Contexteralize former identifiability conditions. Based on this result, we propose to incorporate some a priori information in the references. We show the validity of reference based contrast functions in two semi-blind situations. The results are confirmed by computer simulations.

慟哭

On the Relationships between MMSE and Information-Theoretic-Based Blind Criterion for Minimum BER Fised on the probability density function (pdf) estimation which has an information theoretical approach is used to link the MMSE criterion and the maximum . one in order to obtain a linear filter that minimizes the BER. An analytical relationship among those three criteria is presented and analyzed s

羞辱

Blind Separation of Cyclostationary Signalsd exploits the characteristics of cyclostationary signals in the Fraction-of-Time probability framework in order to simultaneously separate all sources without restricting the distribution or the number of cycle frequencies of each source. Furthermore, a new identifiability condition is also provide

步履蹣跚