一种基于经验谱趋势的频带划分方法、装置和电子设备
By using an empirical spectral trend-based frequency band division method, the empirical spectral trend is calculated by combining the spectral trends of the observed signal and background noise. This solves the problem that the frequency domain decomposition method is difficult to accurately divide the frequency band and estimate the center frequency of the signal components in complex noise environments, and realizes efficient frequency band division and center frequency estimation in multi-component non-stationary signals.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF ACOUSTICS CHINESE ACAD OF SCI
- Filing Date
- 2025-12-26
- Publication Date
- 2026-07-17
AI Technical Summary
Existing frequency domain decomposition methods struggle to effectively utilize spectral morphology information in complex noise environments, leading to easily distorted signal decomposition results and difficulty in accurately dividing frequency bands and estimating the center frequencies of signal components in multi-component non-stationary signals.
The frequency band division method based on empirical spectral trends calculates empirical spectral trends by extracting the spectral trend combination of observed signals and background noise, and uses local minima and peak points to determine sub-band boundaries and center frequencies, thereby achieving adaptive frequency band division.
It can adaptively identify multi-component non-stationary signals in complex noise environments, improving the robustness of frequency band division and the accuracy of signal component center frequency estimation.
Smart Images
Figure CN121980236B_ABST