1. A method for implementation of a Spectrum Sensing Function wherein Higher Order Statistics (HOS) are applied to segments of received signals in time and frequency domains comprising the steps of: moving to a particular portion of a frequency spectrum; applying band pass filter; applying low noise amplifier; collecting waveforms in said portion of a frequency spectrum; downconverting said collected waveforms; applying a low pass filter; converting to focus on a spectrum of interest; sampling to adjust a sampling rate; applying an analog to digital conversion; applying serial to parallel conversion to convert a stream of samples; applying a Fast Fourier Transform (FFT); detecting at least one signal using higher order statistics; classifying a segment as belonging to Class Signal or Class Noise; and identifying said at least one signal.