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Filtering and noise reduction method, device, electronic device and storage medium

A technology of noise reduction and memory, applied in the field of sensors, can solve the problems of low-cost real-time system difficult to implement and large amount of calculation

Inactive Publication Date: 2019-02-26
HENAN THINKER TRACK TRAFFIC TECH RES INST
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  • Claims
  • Application Information

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Problems solved by technology

However, this method is too computationally intensive and difficult to implement for low-cost real-time systems

Method used

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  • Filtering and noise reduction method, device, electronic device and storage medium
  • Filtering and noise reduction method, device, electronic device and storage medium
  • Filtering and noise reduction method, device, electronic device and storage medium

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no. 1 example

[0033] see figure 2 , is a filtering and denoising method applied to the electronic device 100 provided by the embodiment of the present invention, which will be combined below figure 2 Describe the steps involved.

[0034] Step S101: Obtain the original signal to be processed.

[0035] Obtain the raw signal to be processed, for example, obtain the raw signal collected by the MEMS sensor. The present application mainly aims at filtering the dynamic output signal of a low-cost Micro-Electro-Mechanical System (MEMS) sensor, so as to improve the data accuracy output by the sensor.

[0036] Step S102: Decompose the original signal into multiple intrinsic time scale components.

[0037] After obtaining the original signal to be processed, an improved adaptive time-scale decomposition (IATD) algorithm is used to decompose the original signal into multiple intrinsic time-scale components. First, take the original signal as the signal x(t) to be processed, and obtain all local e...

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Abstract

The invention relates to a filtering and noise reduction method, a device, an electronic device and a storage medium, belonging to the technical field of sensors. The method comprises the following steps of: acquiring an original signal to be processed; decomposing the original signal into a plurality of intrinsic time scale components; calculating a filtering threshold for each of the plurality of intrinsic time scale components; filtering a corresponding eigentime scale component based on a filtering threshold of each of the eigentime scale components; the processed signal is obtained basedon each of the intrinsic time scale components after filtering. In the embodiment of the present application, the original signal is decomposed into a plurality of components, and then each componentis filtered separately, thereby achieving the purpose of noise reduction and improving the accuracy of the sensor output data, and the calculation amount is small, so that the requirement of a low-cost real-time system can be met.

Description

technical field [0001] The invention belongs to the technical field of sensors, and in particular relates to a filter noise reduction method, device, electronic equipment and storage medium. Background technique [0002] MEMS (Micro-Electro-Mechanical System, Micro-Electro-Mechanical System) sensors are widely used in military, commercial, civil and other fields due to their small size, light weight, low cost, and high reliability. However, due to the influence of system structure deviation, disturbance torque, environmental noise, etc., there are random errors in the output data of MEMS sensors. Therefore, how to improve the accuracy of MEMS sensors is a hot issue in research at home and abroad. To solve this problem, there are currently two main solutions, one is to improve the sensor structure from the hardware, and improve the accuracy of the sensor by reducing the structural error; the other is to start from the software, to eliminate the random error through the filte...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/04
Inventor 蒋伟段祥玉赵霄丁文昊谢香峰李鹏治
Owner HENAN THINKER TRACK TRAFFIC TECH RES INST
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