Two-mean level-crossing time interval estimation method

Details Two-mean level-crossing time interval estimation method Two-mean level-crossing time interval estimation method

2006-11-07

2006-11-07

Bui, Bryan (Department: 2863)

Data processing: measuring, calibrating, or testing

Calibration or correction system

Timing

C702S189000, C702S190000, C235S462190, C375S350000, C708S300000

Reexamination Certificate

active

07133791

ABSTRACT:
N-sample level-crossing estimator methods and devices are provided that extract more information from given time samples than the current two-sample approach and that are more resistant to interference from noises. The two-mean level-crossing time-interval estimation method extracts more information from given time samples than existing methods, advantageously estimates a level-crossing time interval with a limited number of time samples and is quieter than current noisy estimation techniques. The two-mean level crossing time-interval estimation method for N-sample estimation uses all N time samples by calculating the mean value of the first N/2 time samples and subtracting it by the second N/2 time sample to average out the noises in time samples. The two-mean level crossing time-interval estimation method can be implemented by using a Finite Impulse Response filter to take level-crossing time samples as inputs, take the differential level-crossing time samples as inputs, or take the N/2-step differential level-crossing time-interval as an input. An addition only one-step differential level-crossing time-interval estimator device and a one-step differential level-crossing time-interval estimator device are also provided.

REFERENCES:
patent: 5835541 (1998-11-01), Namekata et al.
patent: 7092472 (2006-08-01), Stojanovic
patent: 2001/0037189 (2001-11-01), Onu et al.

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