create a function that identifies peaks in ftir in matlab

To identify peaks in FTIR (Fourier Transform Infrared) data in MATLAB, you can use the findpeaks function from the Signal Processing Toolbox.

Here is an example of how you can create a function that identifies peaks in FTIR data:

main.m
function [peakIndices, peakValues] = identifyPeaks(ftirData, threshold, minDistance)
    % Apply noise reduction or preprocessing on the FTIR data if necessary
    
    % Identify peaks using the findpeaks function
    [peakValues, peakIndices] = findpeaks(ftirData, 'MinPeakHeight', threshold, 'MinPeakDistance', minDistance);
end
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In this function, the input ftirData is the FTIR spectral data, threshold is the minimum peak intensity required for a peak to be detected, and minDistance is the minimum number of samples between any two detected peaks. The function returns peakIndices, which contains the indices of the peaks in the ftirData, and peakValues, which contains the corresponding peak intensities.

You can call this function with your FTIR data and appropriate threshold and minimum distance values to identify the peaks. Note that you may need to adjust the threshold and minimum distance values depending on the characteristics of your FTIR data.

main.m
ftirData = ... % your FTIR data
threshold = ... % minimum peak intensity threshold
minDistance = ... % minimum peak distance

[peakIndices, peakValues] = identifyPeaks(ftirData, threshold, minDistance);
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After calling the function, peakIndices and peakValues will contain the identified peaks in your FTIR data.

Please note that depending on the specific characteristics of your FTIR data, you may need to perform additional preprocessing or modifications to the code provided above to achieve accurate peak detection.