Method and system for signal processing using a sparse...

Details Method and system for signal processing using a sparse... Method and system for signal processing using a sparse...

2008-07-15

2008-07-15

Hirshfeld, Andrew H (Department: 2857)

Data processing: measuring, calibrating, or testing

Measurement system

Measured signal processing

C702S183000, C702S196000

Reexamination Certificate

active

07401006

ABSTRACT:
The present invention relates to a method and system for processing time series signal data or image signal data indicative of a characteristic of an object. Received signal data are transformed into second signal data within a Stockwell domain based upon a sparse approximation of a S-transform of the signal data. The second signal data are then processed within the Stockwell domain to extract features therefrom. The processing includes determination of local spectra at predetermined locations; determination of voices at predetermined frequencies; and filtering of the signal data using a filter function in dependence upon frequency and time or space. The signal processing method and system according to the invention enables signal processing based on the S-transform using a desktop computer or workstation.

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Stockwell R.G., Mansinha L., Lowe R.P., “Localization of the complex spectrum: the S-transform”, IEEE Trans. Signal Process, 1996; 44, 998-1001.
Pinnegar, C.R., Mansinha L., “Time-local spectral analysis for non-stationary time series. The S-transform for noisy signals”, Fluctuation and Noise Letters 3, L357-L364 (2003).
Pinnegar, C.R., Time-frequency and time-time filtering with the S-transform and TT-transform, Dig. Signal Process (in press).

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