基于分段多项式拟合的基线校正方法matlab代码
时间: 2024-05-10 11:19:11 浏览: 7
以下是基于分段多项式拟合的基线校正方法的MATLAB代码:
```matlab
function [correctedSignal] = baselineCorrection(signal, degree, windowSize)
% Inputs:
% signal: the input signal (a vector)
% degree: the degree of the polynomial to fit (an integer)
% windowSize: the size of the sliding window (an odd integer)
% Output:
% correctedSignal: the baseline-corrected signal (a vector)
% Check the inputs
if nargin < 3
error('Error: Not enough input arguments.');
end
if mod(windowSize, 2) == 0
error('Error: windowSize must be an odd integer.');
end
% Initialize some variables
halfWindowSize = floor(windowSize / 2);
numPoints = length(signal);
correctedSignal = zeros(size(signal));
% Loop through each point in the signal
for i = 1:numPoints
% Determine the limits of the sliding window
startIndex = max(i - halfWindowSize, 1);
endIndex = min(i + halfWindowSize, numPoints);
windowIndices = startIndex:endIndex;
% Fit a polynomial to the window
p = polyfit(windowIndices, signal(windowIndices), degree);
% Subtract the polynomial from the signal to get the baseline
baseline = polyval(p, windowIndices);
baselineValue = mean(baseline);
% Correct the signal by subtracting the baseline
correctedSignal(i) = signal(i) - baselineValue;
end
end
```
使用方法:将输入信号、多项式拟合的次数和滑动窗口的大小作为参数传递给函数。函数将返回校正后的信号。
例如,如果要校正名为 "mySignal" 的信号,使用一个二次多项式拟合和大小为 25 的滑动窗口,可以这样调用函数:
```matlab
correctedSignal = baselineCorrection(mySignal, 2, 25);
```