| CPC G10K 11/17813 (2018.01) [G10K 11/17827 (2018.01)] | 20 Claims |

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1. A method of classifying an incoming signal based on predetermined models of likely signals, comprising:
receiving an incoming time-varying signal;
dividing the incoming time-varying signal into a plurality of snippets, the plurality of snippets having a single or a plurality of durations;
transforming each snippet into an associated frequency spectrum, thus generating a plurality of spectra;
for each spectrum of the plurality of spectra, constructing a time-frequency image into a plurality of time-frequency images;
combining the plurality of time-frequency images into a single histogram of time-frequency image;
detecting one or more time-frequency classes of unwanted noise in the single histogram; and
outputting each of the one or more detected classes.
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