Noise Restraint Method for Chaotic Signal
Tian Jin-chao · Jisuanji fangzhen · 2006
By means of the eigenvalues leap phenomenon that exists in local covariance matrix in local-projection algorithm, an improved method for restraint noise in contaminated chaotic signals was proposed. This method overcame the difficulty that it's hardly to distinguish the eigenvectors between noise space and signal space in the original, and was applied to the Henon-map chaotic signal that contained noise. Through simulation research, under the mild signal-to-noise ratios conditions, the improved algorithm is known to reduce the absolute error and enhance capability of noise restraint compared with the original.