摘要
本文提出了一种基于奈曼－皮尔逊（Ｎｅｙｍａｎ－Ｐｅａｒｓｏｎ）准则和最小均方误差准则的、估计淹没在加性白高斯噪声中的ｌ／ｆ类分形信号的最佳子波门限方法．计算机仿真结果证明了该方法的可行性和有效性．
Based on Neyman-Pearson criterion to maximise the probability of signal detection for a givenfalse alarm,and based on the minimum mean-square error between the reconstructed signal and the original sig-nal,this paper presents an optimum wavelet threshold for the estimation of 1/f-type fractal signals embedded inadditive white Gaussian noise.Also presented in this paper are typical computer simulation results to demonstratethe viability and the effectiveness of the proposed optimum wavelet threshold .
出处
《电子学报》
EI
CAS
CSCD
北大核心
1998年第4期15-18,共4页
Acta Electronica Sinica
关键词
分形信号
1/f噪声
信号估计
子波变换
Fractal signal,l/f noise,Signal estimation,Wavelet transform
