The results compared with Monte Carlo simulation show that the analytical solutions can well forecast the probability distribution of the steady-state Gaussian responses of the systems.
与蒙特卡洛模拟解对比结果表明,该解析解能够较好地预测滑移系统的稳态高斯随机响应。
2
As a result, the experiment shows that the algorithm can effectively filter out Gaussian and impulse noises, as well as preserve more detailed information of the original image.
Cyclostationary method is not sensitive to the Gaussian color noise and can do with non Gaussian color noise as well, which is proved to be effective in low SNR environment.