用于质谱数据的增强扩散模型matlab代码
时间: 2024-01-09 14:53:41 浏览: 28
以下是一些用于质谱数据的增强扩散模型的Matlab代码示例:
1. 高斯增强扩散模型
```matlab
function [out] = gaussian_diffusion(inp, sigma, iterations)
% Gaussian diffusion model for mass spectrometry data enhancement
% Inputs:
% inp: input mass spectrometry data
% sigma: standard deviation of the Gaussian filter
% iterations: number of iterations
% Output:
% out: enhanced mass spectrometry data
out = inp;
for i=1:iterations
out = imgaussfilt(out, sigma);
end
end
```
2. 均值增强扩散模型
```matlab
function [out] = mean_diffusion(inp, iterations)
% Mean diffusion model for mass spectrometry data enhancement
% Inputs:
% inp: input mass spectrometry data
% iterations: number of iterations
% Output:
% out: enhanced mass spectrometry data
out = inp;
for i=1:iterations
out = imboxfilt(out, 3);
end
end
```
3. 双边增强扩散模型
```matlab
function [out] = bilateral_diffusion(inp, sigma_space, sigma_intensity, iterations)
% Bilateral diffusion model for mass spectrometry data enhancement
% Inputs:
% inp: input mass spectrometry data
% sigma_space: standard deviation of the Gaussian filter in spatial domain
% sigma_intensity: standard deviation of the Gaussian filter in intensity domain
% iterations: number of iterations
% Output:
% out: enhanced mass spectrometry data
out = inp;
for i=1:iterations
out = bfilter2(out, sigma_space, sigma_intensity);
end
end
```
这些代码示例提供了一些基本的增强扩散模型,但还有许多其他的模型可以用于质谱数据的增强,例如非线性扩散模型、总变分增强模型等。您可以根据自己的需要进行修改和扩展。