Self-adaptive background sound elimination method
An adaptive background and background sound technology, applied in voice analysis, instruments, stethoscopes, etc., can solve problems such as signal distortion, excessive output signal distortion, disappearance, etc., and achieve the effect of background sound interference elimination
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Embodiment 1
[0043] Embodiment one, by Figure 1-3 Provide, the present invention provides a kind of self-adaptive background sound elimination method, comprise the following steps, the judgment on the time frame, the judgment on the frequency domain, the background sound elimination and change into time series signal, the judgment on the described time frame: first to The input data is divided into frames to obtain the kth frame data vector x of the mixed heart sound signal k and the kth frame vector d of the background noise interference signal k , each frame has 256 sampling points, and the overlap between two adjacent frames is 50%, and then the judgment of each frame is made. In order to meet the real-time requirements of the background sound cancellation algorithm in the electronic stethoscope, the Raida criterion is selected. To detect the background sound, that is, calculate the mean value μ of each frame of the background sound data k and standard deviation σ k , set a backgrou...
experiment example
[0074] The evaluation indicators of this experimental example mainly include the following three:
[0075] (1) Output signal-to-noise ratio, oSNR is defined as the clean heart sound signal power P s and background sound signal power P d The ratio of , the larger the value, the less background sound remains in the signal:
[0076]
[0077] (2) Mean square error, MSE means that there is unnecessary information in the denoising signal. For the clean heart sound signal after the background sound is eliminated, its value must be lower than that of the background sound signal, and the smaller the value, the better the denoising effect. It is defined as follows :
[0078]
[0079] Among them, x(j) and s(j) represent the original heart sound signal and the clean heart sound signal after the background sound is eliminated, respectively, and L represents the length of the signal.
[0080] (3) Correlation coefficient, CCF is a common index to measure the effect of denoising. It ...
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