Abstract
A novel technique for estimating the distribution of the conduction velocity of peripheral nerve fibers is described in this paper. In order to overcome the sensibility of present methods to noisy data, a Regularized-Least-Squares method with a smoothing constraint and a self-adaption of regularization parameter was introduced. The simulation results demonstrated that the improved technique can be applied in clinical diagnosis yet, because it yielded reliable and almost undistored results even if the data are severely contaminated by noise.
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