MSSMOOTH smoothes a noised spectrum using a wavelet transform. | |
S = MSSMOOTH(Y,T,L) performs an individual denoising process based on a wavelet transformation. Y is the classical MZ intensities, where Y(:,i) corresponds to the i-nth full spectrum. The parameters are: | |
T = multiple of 0.67*MAD (Median Absolute Deviation) at which to threshold the wavelet coefficients. Typical thresholds are in the range of 4-10 (default value set to T = 6). | |
L = power of 2 to compute wavelets (default value is L = 10, which sets blocks of size 1024). | |
The wavelet transform is performed by means of the the Rice Wavelet Toolbox (http://www-dsp.rice.edu/software/rwt.shtml). This function is an adaptation from the functions included in the Cromwell toolbox for denoising and baseline correction (http://bioinformatics.mdanderson.org/cromwell.html). |