Analyzer for signal anomalies

1. A signal analyzer comprising:

a divergence detector configured to detect periodic interference in a signal;

an information detector configured to detect a random event in the signal; and

output circuitry configured to provide compensation for the periodic interference and the random event.

2. The signal analyzer of claim 1 , wherein the divergence detector comprises a processor for computing a Kullback-Leibler divergence of a spectrogram of the signal.

3. The signal analyzer of claim 1 , wherein the information detector comprises a processor for determining a probability of the random event and identifying significant events having a probability below a certain threshold.

4. The signal analyzer of claim 1 , further comprising:

a time series recorder for recording a time series of the signal;

a signal pre-processor for generating a spectrogram from the time series, wherein the divergence detector utilizes the spectrogram for detecting periodic interference and the information detector utilizes the spectrogram for detecting the random event.

5. The signal analyzer of claim 4 , wherein the time series recorder comprises:

an analog signal input for receiving a physical layer signal;

an analog signal conditioner for conditioning the physical layer signal;

an analog to digital converter for digitizing the conditioned signal; and

a memory for storing a storing a plurality of representations of the digitized conditioned signal over time.

6. The signal analyzer of claim 4 , wherein the signal pre-processor comprises:

a processor for processing the time series of the signal to yield the spectrogram; and

a memory for storing the spectrogram.

7. The signal analyzer of claim 6 , wherein the processor operates to generate a short term Fourier transform of the time series.

8. An analyzer comprising:

a time series recorder for recording a time series of a signal;

a signal pre-processor for generating a spectrogram from the time series;

a divergence detector for detecting periodic interference in the spectrogram;

an information detector for detecting a random event in the spectrogram; and

output circuitry for compensating for the periodic interference and the random event in the signal.

9. A method of analyzing a signal comprising:

detecting periodic interference in a signal;

detecting a random event in the signal; and

compensating for the periodic interference and the random event.

10. The method of claim 9 , further comprising detecting the periodic interference in the signal utilizing a Kullback-Leibler divergence calculation from a spectrogram of the signal.

11. The method of claim 9 , further comprising detecting the random event by calculating a probability of the random event and identifying the random event as significant if the probability is below a certain threshold.

12. The method of claim 9 , further comprising:

recording a time series of the signal;

generating a spectrogram from the time series; and

utilizing the spectrogram for detecting the periodic interference and the random event in the signal.

13. The method of claim 9 , further comprising:

receiving the signal from a physical transmission layer;

conditioning the physical layer signal;

digitizing the conditioned signal; and

storing a storing a plurality of representations of the digitized conditioned signal over time.

14. The method of claim 9 , further comprising:

processing the time series of the signal to yield the spectrogram; and

storing the spectrogram.

15. The method of claim 14 , further comprising generating a short term Fourier transform of the time series.