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Adjacent point correlativity mean noise reduction method implemented for FFT data

A technology of adjacent points and data values, applied in electrical digital data processing, special data processing applications, complex mathematical operations, etc. The programming logic sequence is difficult to solve and other problems, to achieve the effect of saving manpower, flexible and convenient application, and improving the effect of signal analysis

Active Publication Date: 2016-10-12
THE 41ST INST OF CHINA ELECTRONICS TECH GRP
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the field of high-speed acquisition signal analysis and processing, after the high-speed sampling data is transformed and processed by FFT, due to the difficulty of hardware design and real-time data analysis and processing under high-speed sampling conditions, it is often caused by large bandwidth problems, signal leakage problems, signal aliasing problems, band Internal self-excitation problems, etc., make the effect of FFT unsatisfactory. Some unwanted signals or small signals that are not concerned will be mixed on the signal noise floor. It is difficult to improve hardware and optimize programmable logic timing at high speeds. Solve, affect the effect of data processing
[0003] Usually, when the hardware environment is not ideal, especially in high-speed applications, it is generally difficult to completely improve the signal effect through hardware optimization.
At the same time, the improvement of the hardware environment needs to increase labor costs, time expansion, and hardware resource consumption to a certain extent, and in many cases, due to different environments, the results of one debugging do not meet the general requirements of multiple environments.

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  • Adjacent point correlativity mean noise reduction method implemented for FFT data

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0034] An adjacent point correlation mean value noise reduction method for FFT data, which is aimed at the filtering and noise floor purification processing operations in the case of unsatisfactory mixed small signals after FFT processing of sampled data, to improve the FFT processing effect and optimize Data processing results.

[0035] The method of the present invention is to calculate the average value of the backward adjacent 3 data (including the first data lower than the reference value dRef) that are lower than the reference value dRef in the FFT signal data to be processed, so as to replace the data value. deal with.

[0036] This method can reduce the amplitude of the distorted data below the reference value by means of the average of adjacent data, and at the same time reduce the noise band, so that the signal below the reference value conve...

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Abstract

The invention discloses an adjacent point correlativity mean noise reduction method implemented for FFT data. The method comprises the steps of setting a reference value dRef; comparing to-be-processed FFT signal data with the reference value dRef; for the data with the value lower than the reference value dRef, calculating a mean of a set number of pieces of adjacent data, and replacing the data value lower than the reference value dRef with the mean; and reducing the amplitude of distorted data with the value lower than the reference value and reducing the noise band to enable signals with values lower than the reference value to gather to the center of noise. The amplitude of the distorted data with the value lower than the reference value can be reduced through an adjacent data mean method and the noise band is reduced, so that the signals with the values lower than the reference value can gather to the center of the noise, and the noise can be inhibited and the interference signal energy can be reduced to a certain extent.

Description

technical field [0001] The invention relates to the field of digital signal processing, in particular to an adjacent point correlation mean noise reduction method for FFT data. Background technique [0002] In the field of high-speed acquisition signal analysis and processing, after the high-speed sampling data is transformed and processed by FFT, due to the difficulty of hardware design and real-time data analysis and processing under high-speed sampling conditions, it is often caused by large bandwidth problems, signal leakage problems, signal aliasing problems, band Internal self-excitation problems, etc., make the effect of FFT unsatisfactory. Some unwanted signals or small signals that are not concerned will be mixed on the signal noise floor. It is difficult to improve hardware and optimize programmable logic timing at high speeds. Solve and affect the data processing effect. [0003] Usually, when the hardware environment is not ideal, especially in high-speed applic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/14
CPCG06F17/142
Inventor 白月胜高长全曹淑玉
Owner THE 41ST INST OF CHINA ELECTRONICS TECH GRP
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