Feedback signal Effective data starting method, equipment and storage medium

Abstract

The present invention provides a method, device and storage medium for intercepting a valid data starting point of a feedback signal. The method includes: selecting a first data interception interval from a feedback signal formed within a preset delay, and obtaining the maximum amplitude and The difference between the minimum amplitudes is used as the first amplitude difference; starting from the end point of the first data interception interval, the feedback signal is sequentially divided into multiple data subsections of the same length, and the maximum amplitude of each data subsection is obtained. The difference from the minimum amplitude is used as the second amplitude difference; corresponding to each test equipment, a data subsection is selected according to the relationship between the first amplitude difference and the second amplitude difference, and the selected data subsection is As the second data interception interval; corresponding to each test equipment, select a point at the same position of the second data interception interval as the starting point of valid data. The invention can accurately calculate the starting point of effective data, has high reliability, and improves the credibility of results.

Description

technical field [0001] The invention relates to the technical field of parameter detection of electroacoustic products, in particular to a method, device and storage medium for intercepting the starting point of effective data of a feedback signal. Background technique [0002] It is a common technical means to analyze and calculate the frequency sweep signal in acoustic related projects, such as microphone test projects. [0003] like figure 1 As shown, the main steps of the microphone test are as follows: 1) Use the PC to connect the sound card (Sound Card) to control the reference microphone (Ref Mic), the product under test microphone (DUT Mic) and the power amplifier (Amplifier); 2) Device calibration; 3) Turn on Ref Mic and DUT Mic, the frequency sweep signal is played after the preset delay (0.1s), and the two Mic receive data at the same time; 4) Calculate the received feedback signals respectively and obtain 2 sets of THD (Total Harmonic Distortion, Total Harmonic ...

AI Technical Summary

Problems solved by technology

[0007] Option 1: Artificially assisted identification of the effective signal starting point, however, this identification method has certain limitations and is not suitable for mass production and automated production

[0008] Solution 2: Use the method of taking the average value of multiple experiments, for example: delete the previous FS*0.1+950=5360 data as invalid data each time to obtain valid data, but after experimental verification, due to the delay of the system and the physical The impact of the environment has a certain degree of randomness and variability, resulting in unreliable results of the program

[0009] Scheme 3: Threshold value method, configure a threshold value, and if it exceeds the threshold value, it is considered to enter the valid data part; however, there is a difficulty in this method. First, a large number of experiments show that the selection of the threshold value must be flexibly selected according to the data characteristics of each noise part. Because the invalid data part is noise, the noise is uncontrollable in the actual production environment, and may have various forms; thus, a single, fixed threshold cannot meet the algorithm requirements

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