Bimodal histogram of a signal embedded in noise
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Hi, Someone could help me about this problem:
I have a signal embedded in White Gaussian Noise (AWGN) with different SNR's. From the histogram it's possible to see that there are two distribution (red and blue), and a want estimate the dispersion around the great one (elipse red) from its great value or its mode.
The figure attached shows a single SNR, but as I change the SNR , the distribution change it's behavior too. Therefore there are aways two peaks well separated.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1111465/image.png)
Someone help please! How I can find this dispersion as an automatic way, since I assume that I don't know nothing about noise, just analising its behavior by means of histogram
Thanks in advance
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Image Analyst
2022 年 8 月 30 日
See the two attached "fit_multiple_gaussians" demo that can fit any number of Gaussians to your data. Adapt the "multiple" demo to use 2 Gaussians instead of 6.
Or use the attached "fit_two_Gaussians" demo.
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