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Firstly, multi-cycle signal is processed by continuous wavelet transform.
Usually, to overcome these experimental errors, LIBS signal is processed.
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.
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.
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There was no benefit when the signal was processed with the fixed modulation filter.
Then Doppler signal was processed by tracking filter, frequency spectrum refinement and frequency spectrum correction algorithm.
Significant improvements in SRTs were observed when the signal was processed with the optimal coherent modulation filtering algorithm.
The obtained signal was processed and analyzed by PC.
Complex Gaussian noise was added to simulate thermal noise before the signal was processed by the receive modules.
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