Peak detection method and peak detection device of frequency spectrum signal, and electronic equipment

Through a peak detection method based on spectrum signals, including determining the number of peaks and inter-partition Lorentz fitting, the problems of low and inaccurate peak detection in the prior art are solved, and automated and efficient peak detection is achieved.

CN119780521AActive Publication Date: 2025-04-08BEIJING ACAD OF QUANTUM INFORMATION SCI
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Patent Information

Application Number
CN202411755031.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-02
Publication Date
2025-04-08
Estimated Expiration
2044-12-02

AI Technical Summary

Technical Problem

The prior art is inefficient and inaccurate in peak detection, especially when processing dynamic, variable or noise-prone data, requiring expert correction.

Method used

A peak detection method for spectrum signals is proposed, including determining the number of peaks in response to the peak detection instruction of spectrum signals, performing peak detection based on the preset peak significant value threshold, obtaining initial peak information, and determining the parameter value of peak detection based on the number of peaks and initial peak information. This method performs Lorentz fitting through partition intervals to reduce the impact of split peaks or data noise on peak detection.

Benefits of technology

It realizes automated peak detection, optimizes detection performance, can adapt to dynamic changes of signals, reduces the workload of experts to manually adjust parameters, and improves detection accuracy.

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Abstract

The invention provides a peak detection method and a peak detection device for a frequency spectrum signal, electronic equipment and a non-instantaneous computer readable storage medium, and the method comprises the steps: determining the number of peaks of the frequency spectrum signal in response to a peak detection instruction of the frequency spectrum signal; performing peak detection on the frequency spectrum signal according to a preset peak significant value threshold to obtain initial peak information; and determining a parameter value of peak detection of the frequency spectrum signal according to the number of the peaks and the initial peak information. According to the embodiment of the invention, the peak value significant value threshold value is adaptively adjusted by using the determined peak value number of the frequency spectrum signal, the parameter space is continuously reduced, and the optimal parameter value is searched, so that automatic peak value detection is realized, the detection performance is optimized, and the method can adapt to the dynamic change of the signal.
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