Several Iterative Regularization Methods for One-dimensional Signal Recovery
YU Rui-yan · Journal of Yangtze University · 2010
The recovery of one-dimensional blurring-noise signal is a typical ill-posed problem.But the classic signal processing methods(as Wiener filter,Fourier transform and short-time Fourier transform et.al.)can't solve the problem effectively because of their limitations.Then three iterative regularization methods are introduced in this article based on analyzing the characters of the blurring-noise signals.While the recovery the three iterative regularization methods are compared by the experimental results under different noise levels.