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In this paper a novel application of the simultaneous perturbation stochastic approximation algorithm (SPSA) to the noisy non-stationary blind source ...
In this paper the SPSA algorithm has been utilised for the optimization of a second order cost function with application to the blind separation of non- ...
In this paper a novel application of the simultaneous perturbation stochastic approximation algorithm (SPSA) to the noisy non-stationary blind source ...
To suppress the non-stationary noise, we used a blind source separation based on an efficient fast independent component analysis algorithm. This method is ...
Blind source separation (BSS) based on spatial time-frequency distributions (STFDs) provides improved performance over blind source separation methods based on ...
Brain source signals are extremely weak, non-stationary signals and distorted by noise, interference and on-going activity of the brain. Moreover, they are ...
This pa- per investigates the use of Non-negative Matrix Factoriza- tion (NMF) as an automatic source separation method for engine noise, using an array of ...
In this paper, the problem of blind separation of linear spa- tial mixture of non-stationary source signal based on time frequency distributions has been ...
Missing: SPSA | Show results with:SPSA
An algorithm for blind source separation based on several time-delayed second-order correlation matrices is proposed andency and stability are demonstrated ...
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This study develops a method for evaluating BSS performance. The idea is neural signals in EEG can be estimated by comparison with simultaneously measured ...