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Signal classification method and device

A signal classification and signal technology, applied in the field of signal classification, can solve the problems of inability to effectively preserve the timing relationship and the reduction of classification accuracy, and achieve the effect of adding features and improving accuracy

Pending Publication Date: 2022-06-17
NEW SINGULARITY INT TECHN DEV
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Problems solved by technology

[0005] This application provides a wavelet transform-based signal classification method and device to solve the problem that the traditional signal classification method cannot effectively preserve the timing relationship, resulting in a decrease in classification accuracy

Method used

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  • Signal classification method and device
  • Signal classification method and device
  • Signal classification method and device

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Embodiment Construction

[0055] Embodiments will be described in detail below, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following examples are not intended to represent all implementations consistent with this application. are merely exemplary of systems and methods consistent with some aspects of this application as recited in the claims.

[0056] In the embodiment of the present application, the signal classification is a signal processing process in which the class to which the signal belongs is determined by analyzing the features in the signal data. Among them, the signal refers to an electrical signal detected by front-end equipment such as sensors in actual engineering. like figure 1As shown, the signal can be converted into a digital signal that can be read and processed b...

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Abstract

The invention provides a signal classification method and device, and the method comprises the steps: carrying out the wavelet transformation of a to-be-classified signal after the to-be-classified signal is obtained, and generating input data according to the original data of the to-be-classified signal and a wavelet transformation result. And inputting the input data into the neural network model, and calculating an output classification probability through the neural network model. Wherein the input data comprises original data of the to-be-classified signals, transformation data obtained after wavelet transformation of the to-be-classified signals and composite data formed by stacking the original data and the transformation data, the time sequence relation in the to-be-classified signals can be reserved, and the characteristics of the data input into the neural network model are increased; therefore, the accuracy of signal classification is improved.

Description

technical field [0001] The present application relates to the technical field of signal classification, and in particular, to a signal classification method and device. Background technique [0002] Signal classification is a signal processing process that determines the category of the signal by analyzing the characteristics of the signal. For example, in the perimeter protection system, by collecting the target detection signal in the perimeter area and analyzing the characteristics of the detection signal, it can distinguish the signal fluctuation caused by human intrusion and natural factors. Because in different application fields, the characteristic complexity of the signal is also different, and the signal in some application scenarios has a high degree of complexity, so simple signal characteristic analysis usually cannot accurately determine the category of the signal. [0003] To achieve the classification of complex signals, neural network models can be used in t...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/049G06N3/084G06N3/045G06F2218/06G06F2218/08G06F2218/12
Inventor 邵起明郑明吉邓楠
Owner NEW SINGULARITY INT TECHN DEV
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