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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

Active Publication Date: 2019-02-05
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention provides a signal coincidence degree matching method based on dynamic time warping and wavelet features, which is used to solve the problems of low efficiency in the identification of severed head trace information and no mature system for identification.

Method used

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  • A Signal Coincidence Matching Method Based on Dynamic Time Warping and Wavelet Features
  • A Signal Coincidence Matching Method Based on Dynamic Time Warping and Wavelet Features
  • A Signal Coincidence Matching Method Based on Dynamic Time Warping and Wavelet Features

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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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Abstract

The invention relates to a signal coincidence degree matching method based on dynamic time warping and wavelet features, which belongs to the field of information technology. The present invention includes the steps of: first performing wavelet decomposition on the original signal, and selecting the mother wavelet and decomposition level, calculating the wavelet decomposition coefficient including the noise signal, and then filtering the noise signal for noise reduction; reconstructing the filtered and noise-reduced signal, Obtain the noise reduction data and draw it into a new signal; 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; the characteristics of the two-dimensional matrix components corresponding to the samples The coincidence degree of the corresponding features is compared between the data and the traces to be compared. The invention has high efficiency in discriminating decapitation trace information, greatly improves criminal investigation efficiency, is very important for pattern recognition and matching of decapitation trace signals, and has great practical value.

Description

technical field [0001] The invention relates to a signal coincidence degree matching method based on dynamic time warping and wavelet features, which belongs to the field of information technology. Background technique [0002] In criminal investigation cases such as cable theft, investigators need to deduce the crime tool based on the information of the severed head trace. Due to the large amount of data and the large randomness of the traces of decapitation, it is inefficient if the staff only screen one by one, but if it is completed with the help of a computer, the efficiency of criminal investigation will be greatly improved. [0003] However, the relevant identification work for laser detection signals of cable traces is still in the initial stage of development, and there are few people who study such algorithms, and there is no mature system to follow. Therefore, the pattern recognition and matching work for the decapitation trace signal is very important and has gr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06F2218/12
Inventor 潘楠杨敬树羿泽光
Owner KUNMING UNIV OF SCI & TECH