Signal recognition system and method.

Abstract

Abstract Recognizing a signal begins by receiving the signal and sampling it at a plurality of sampling points to produce a plurality of signal values. A statistical moment of the signal is calculated using the signal values according to the formula: <IMAGE> where: N=the number of sampling points; n=1<n<N X=the signal value of the signal at the sampling point; mu =a mean of the signal values; sigma =a standard deviation of the signal values; and k=an integer greater than 1. The calculated statistical moment is then compared with a plurality of stored signal identifications and the received signal is recognized as similar to one of the stored signal identifications. Preferably, the calculated statistical moment is used to create a feature vector which is quantized, and a weighted sum of the quantized feature vector is used to access a memory which stores the signal identifications.

Inventors

• 👤 Stephen C Kenyon

Bibliographic Details