Stochastic resonance method based on multi-scale noise adjustment

Abstract

The invention provides a stochastic resonance method based on multi-scale noise adjustment. Relations among a nonlinear system, signals and noise are balanced only by adjusting multi-scale noise modes of the signals according to weak signal detection under a strong noise background, so that a stochastic resonance effect under the fixed nonlinear system and the fixed input noise is realized. By the method, the multi-scale noise modes of the signals to be processed are adjusted, so that the strength of the signals at the scale of signal characteristic frequency is the highest and then gradually reduced along with increase of the scale frequency, the nonlinear system, the signals and the noise are optimally matched by adjusting optimal parameters, so that the stochastic resonance effect under the fixed nonlinear system and the fixed input noise is realized. The method at least has the advantages that adjusting parameters are fewer, the method is insensitive to the noise strength of the signals, high frequency can be directly detected, higher signal-to-noise ratio can be obtained and the like.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a stochastic resonance method based on multi-scale noise adjustment, which can be used for weak signal detection under strong noise background. Background technique [0002] In the fields of industry and medical treatment, due to the complex and changeable on-site conditions, the measured monitoring signals often contain a large degree of noise, making useful information appear very weak, which brings certain difficulties to signal analysis and feature extraction. Therefore, signal denoising is the most basic and important technique in measurement signal processing. [0003] Traditional denoising methods usually use filtering technology, which regards the noise in the noisy signal as useless information and filters it out, thereby improving the signal-to-noise ratio. However, weak characteristic signals submerged in noise are still polluted by narrowband no...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art, and provide a stochastic resonance method based on multi-scale noise adjustment, aiming at the problem of weak signal detection under strong noise background, only by adjusting the multi-scale noise mode of the signal, to balance nonlinearity The relationship between system, signal and noise, realize the stochastic resonance effect in the case of fixed nonlinear system and fixed input noise

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