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The feature vectors extracted from the measured signal are processed by GDA, with its dimension remarkably reduced from 350 to 12 while fully maintaining the most discriminative information.
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Firstly, multi-cycle signal is processed by continuous wavelet transform.
Usually, to overcome these experimental errors, LIBS signal is processed.
There was no benefit when the signal was processed with the fixed modulation filter.
In addition, the beamformed signal is processed by two proposed noise-robust feature extraction methods.
The Doppler signal is processed using a short-time Fourier transform-based algorithm.
Then Doppler signal was processed by tracking filter, frequency spectrum refinement and frequency spectrum correction algorithm.
After source encoding, the digitized signal is processed in a channel encoder, which introduces redundant information that allows errors to be detected and corrected.
Firstly, noisy signal is processed by orthogonal wavelet transform to decompose the signal into multi-scale ingredients.
The signal is processed in the frequency domain; this method is based on Rayleigh scattering according to the Fresnel theory.
Significant improvements in SRTs were observed when the signal was processed with the optimal coherent modulation filtering algorithm.
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