Techniques for signal to noise ratio enhancement (filtering) of noisy experimental data are compared by comprehensive computer simulation using synthetic data. The four important descriptors: signal to noise ratio enhancement, peak width increase, peak maximum displacement, and computation time on a laboratory minicomputer are determined for each filter type studied. Comparative results indicate important trends and considerations of signal processing as well as providing a foundation for the selection of filter designs for a given instrumental situation.