Abstract

For monitoring the quality of seismic data, it is desirable to have an estimate of the noise spectrum that can be made without having to remove earthquake signals. A suitable low-resolution spectrum can be made by filtering the original time series into separate frequency bands and finding the variance in each, using a statistical estimator that is robust in the presence of large outliers. For bandwidths spaced logarithmically in frequency, this estimate will be most resistant to outliers at high frequencies.

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