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But the covariance matrix estimation needs a very large number of training symbols.
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To extract a desired source from a given DOA, while reducing noise and directional interferers using ISFs, the narrowband detectors used for RTF and PSD matrix estimation need to distinguish TF bins where desired signal is dominant from TF bins where undesired signal is dominant.
The methodology can tolerate actuator loss of effectiveness without utilizing the control input matrix estimation, eliminating the need for persistence of excitation.
It is also worth noticing that the two parameters we need for mixing matrix estimation have a physical meaning, which is not the case for some standard sparseness-based BSS methods.
Then, Section "Statistical tests for sparseness-based UBSS" is the main core of the article because it introduces the statistical tests for the selection of the time frequency points needed by source recovery and mixing matrix estimation.
Before passing to discuss the scatter matrix estimation problem in complex t-distributed data, few remarks are needed.
Further research is needed to improve the zonal inference formulation and origin destination matrix estimation, mainly by including better cost measures, and dealing with survey and data limitations.
Comparative Analysis of Traffic Matrix Estimation Methods.
Traffic Matrix Estimation Techniques: Existing Techniques Compared and New Directions.
His research interests include robust covariance matrix estimation and sparse correlation structure recovery for analyzing high dimensional data.
Traffic matrix estimation consists in inferring a traffic matrix from link-level measurements.
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