Recognition of random signals described by autoregression model
DOI:
https://doi.org/10.3103/S0735272704040090Abstract
New methods are suggested for recognition of defined signals randomly arriving against the background of unknown signals. The methods are based on describing the signals by the generalized autoregression model, which considers non-Gaussian distribution of the signals. The methods suggested were tested by means of statistical simulation.References
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