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