Deconvolution of Impulsive Signals with Adaptive Filters
Erik Molino Minero, Manuel López Membrilla, Joaquín del Río Fernández, Antonio Manuel Lázaro · Instrumentation viewpoint · 2005
This research work describes a blind deconvolution method for impulsive signals which uses adaptive filters and the LMS (Least Mean Square) learning algorithm for parameters calculation.Impulsive signals and propagation media were simulated using different kinds models.Shown results validate the method performance.This work is part of a larger project which main objective is to integrate in a single chip an accelerometer, a signal conditioner and a digital signal processor specialized on deconvolution.