Estimating Overcomplete Independent Component Bases for Image Windows
Journal of Mathematical Imaging and Vision
Activity index variance as an indicator of the number of signal sources
WSEAS Transactions on Signal Processing
Multichannel Blind Source Separation Using Convolution Kernel Compensation
IEEE Transactions on Signal Processing
Heartbeat detection applying activity index on optical interferometric signal
IMMURO'12 Proceedings of the 11th WSEAS international conference on Instrumentation, Measurement, Circuits and Systems, and Proceedings of the 12th WSEAS international conference on Robotics, Control and Manufacturing Technology, and Proceedings of the 12th WSEAS international conference on Multimedia Systems & Signal Processing
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The activity index definition is based on Mahalanobis distance. As such, its implementation deploys second-order statistics. In multiple-input multiple-output (MIMO) models, it indicates the level of activity of individual input sources. In this paper, we study an extended definition of activity index, whereas second-order statistics are replaced by higher orders. We show experimentally that noise resistance at higher even orders increases. Although the influence of superimposed source activity also increases, which is disturbing, combinations of two or more activity indexes at different orders open deeper insights into the behaviour of input sources. This can be of considerable help when analysing and, in particular, decomposing compound MIMO output signals.