Abstract: A method and system for analyzing continuous bit segments taken from a general data channel and classifying the sampled data by type, such as: voice, audio or data. B contiguous bits are converted to plus and minus deltas. The B-replaced values are then padded with B contiguous zeroes and the Fourier Transform of the padded sequence is computed. A power spectral density is derived from the Fourier Transform. In addition to the Fourier Transform, compression and entropy algorithms are performed on strings of bits within the message. The first B terms of the power spectral density and the results of the compression and entropy algorithms are used to differentiate and classify the data types, based on the premise that the combination of power spectral density, compression and entropy results yields parameters indicative of distinct types of data messages.