A Signal Coincidence Matching Method Based on Dynamic Time Warping and Wavelet Features
A technology of dynamic time regularization and wavelet features, applied in the information field, can solve the problems of low efficiency in the identification of decapitation trace information, and achieve the effect of improving the efficiency of criminal investigation, improving efficiency, and more accurately describing the ability
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Embodiment 1
[0042] Embodiment 1: as Figure 1-9 As shown, a signal coincidence degree matching method based on dynamic time warping and wavelet features;
[0043] The specific steps of the signal coincidence degree matching method based on dynamic time warping and wavelet features are as follows:
[0044] Step1. Perform wavelet decomposition on the original signal, and select the mother wavelet and decomposition level, calculate the wavelet decomposition coefficient including the noise signal, and then filter the noise signal to reduce noise;
[0045] Step2. Reconstruct the filtered and noise-reduced signal, obtain the noise-reduced data and draw it into a new signal;
[0046] Step3. Perform wavelet transformation on the new signal, and transform the signal data after wavelet transformation to obtain two-dimensional matrix components of wavelets of different scales at each time;
[0047] Step4. Compare the coincidence degree of corresponding features between the two-dimensional matrix c...
Embodiment 2
[0063] Embodiment 2: as Figure 1-9 As shown, a signal coincidence degree matching method based on dynamic time warping and wavelet features; the specific steps of the method are as follows:
[0064] Step1. Carry out wavelet decomposition on the original signal f(t), and select the mother wavelet and decomposition level, calculate the wavelet decomposition coefficient including the noise signal, and then filter the noise signal for noise reduction;
[0065] The more layers are decomposed, the more detailed data is processed, the more noise can be eliminated, but the more details may be smoothed. Therefore, a balanced number of decomposition layers is sought; in the decomposition process, the original signal is generally decomposed into two parts. Assuming n-layer decomposition, the composition of the original signal can be described as follows:
[0066]
[0067] Among them: a n is the approximation of the nth layer, d i is the detailed data of the i-th layer, f is the or...
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