A new approach is presented to the problem of detecting the number of signals in a multichannel time-series, based on the application of the information theoretic criteria for model selection introduced by Akaike (AIC) and by Schwartz and Rissanen (MDL). Unlike the conventional hypothesis testing based approach, the new approach does not require any subjective threshold settings; the number of signals is obtained merely by minimizing the AIC or the MDL criteria. Siulation results that illustrate the performance of the new method for the detection of the number of signals received by a sensor array are presented.

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