Feature extraction method based on blind source separation algorithm of wavelet transform fusion for leakage acoustic wave
A wavelet transform and blind source separation technology, applied in computing, complex mathematical operations, special data processing applications, etc., can solve problems such as large deviations, large positioning errors, missed judgments and misjudgments, and achieve obvious compensation effects. , improve the applicability, the effect of convenient operation
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[0044] Embodiment 1: In this embodiment, the blind source separation algorithm is used to process and obtain the number of target signals in a manner that the total number of target signals is equal to the observation signal. The original signal is A0, the first layer observation signal obtained after wavelet transform decomposition is D1, and the second layer observation signal is D2 and A2, that is, the observation signals used in the blind source separation algorithm in step two are A2, D2, D1, and then Blind source separation is performed on A2, D2, and D1 respectively to obtain the target signal.
[0045] Such as image 3 , Figure 4a , Figure 4b , Figure 4c As shown, Fig. 4 shows three target signals obtained by the method provided by the present invention.
Example Embodiment
[0046] Embodiment 2: In this embodiment, the method of using a blind source separation algorithm to process the number of target signals is to define that there is only one target signal. Figure 5 Represents a target signal obtained by the method provided by the present invention.
[0047] reference Figure 4a , Figure 4b with Figure 4c According to the experimental drawings of Example 1, it can be seen that the original signal amplitude is -5.06159kPa, and the corresponding sampling point at the time of the original signal leakage is 46441; Figure 4a It can be seen that the amplitude of the leakage acoustic wave signal is -9.53160kPa, and the corresponding sampling point at the moment when the leakage acoustic wave signal leaks is 46441. Among the 3 signals obtained by the invention, the target signal close to the original signal is the leakage acoustic wave signal, and the remaining 2 are background noise and flowing noise. The order of the leakage acoustic wave signal, back...
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