separable stochastic process

Obviously, inview of the fact that the noise existence is of universality, the most important task should be toestimate the parameter of the fractal stochastic process embedded in noise from an observedsample path.

引起学术界高度关注的分形图像压缩编码是1 /f类分形信号的典型应用,其突破了传统熵压缩编码的理论界限,显然,鉴于噪声存在的普遍性,首要的任务应是由观察样本估计在噪声中分形随机过程的参数。