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Utilize three different procedures to automatically identify hidden peaks in data sets. Each procedure offers a strong solution, but their effectiveness may vary depending on the specific dataset. The first procedure, known as Residuals, initially identifies peaks by identifying local maxima in a smoothed data stream. It also has the ability to add hidden peaks based on the presence of peaks in the residuals. The second procedure, called Second Derivative, searches for local minima in a smoothed second derivative data stream. These local minima often indicate the presence of hidden peaks. The third procedure, known as Deconvolution, employs a Gaussian response function and Fourier deconvolution/filtering techniques to detect hidden peaks.
