The acoustical signal generated by a helicopter, as well as many other signals, e.g., a voiced speech signal, can be described as periodic or almost periodic. When these signals are observed in the presence of other additive wide-band sig- nals, it becomes interesting to separate these two kinds of sig- nals. In this paper we specifically present an iterative method for separating helicopter signals from wide-hand interference modeled as an autoregressive (AR) process. The suggested al- gorithms can also be used for other harmonic signals. Experi- mental results of our algorithm using real helicopter signals are presented to demonstrate the practical applicability of the method.
['Meir Feder']
Parameter Estimation and Extraction of Helicopter Signals Observed with a Wide-Band Interference