Improvements to parameter extraction from noisy signals
Vasile V. Buzuloiu, Marius Malciu, Viorel G. Popescu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
A `fast and precise peak finder' was the motive to develop, in a previous paper, a nonlinear, adaptive parameter extraction method when only a few samples of the signal are available; the resulting algorithm has combined precision and speed requirements, surpassing by far the performance of the best linear processing. The present paper analyzes the algorithm behavior in noisy data (the errors rise proportionally to the noise level when this is above the threshold of `systematic error') and describes an improvement which allows one to maintain the precision of the results in the presence of noise an order of magnitude bigger than the threshold.