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The application of adaptive wavelet filtration for detection of signals of nuclear quadrupole resonanse
The article presents a new approach to signal processing with low signal-to-noise ratio. The approach is based on preliminary statistical
analysis of the noise based on wavelet transform coefficients and the adaptive and threshold methods. Special attention is paid to the automatic
detection of the threshold on the basis of statistical noise properties parameters.
Nuclear Quadrupole Resonance ...
On a technique for the automatic detection of events in the reflectivity of an optical fiber, using wavelet transforms
In this article, we develop a technique for the automatic detection of nonreflective events in the fiber-optic section of a communication line, using wavelet transforms. We establish what wavelet-generating function is optimal for our case. This technique will contribute to the information value of traces of events observed in various inhomogeneities of a communication line.
1. Баскаков ...