Multipath error extraction method based on self-adaptive semi-soft threshold wavelet transform
A multi-path error, semi-soft threshold technology, applied in the direction of adaptive network, radio wave measurement system, satellite radio beacon positioning system, etc., can solve the discontinuity of hard threshold function, unable to express the decomposition coefficient energy distribution, influence Reconstruction accuracy and other problems, to achieve the effect of good elimination, strong adaptability, and stable performance
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[0029] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.
[0030] The main idea of the present invention is as follows: based on the low-frequency characteristics of the multipath signal, the properties of the wavelet coefficients of the multipath signal and other noise signals are different in scale, the corresponding threshold function is used to process the noisy multipath signal, and the multiple path signal.
[0031] Suppose the signal is s(k), the multipath signal to be extracted is m(k), and there is s(k)=m(k)+δ(k), and δ(k) is other noise signal...
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