A statistic controlled filter algorithm to reduce random white noise from experimental data is developed. This technique is equivalent to implementing an ideal low‐pass filter where a statistical test is used to determine the cutoff frequency. Moreover, this filter requires no a priori knowledge of the signal and provides an estimate of the noise level. The routine is simple, fast, and easy to implement on a microcomputer.

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© 1990 American Institute of Physics.
1990
American Institute of Physics
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