To accurately detect and filter out the impulse noise in the image, the switching median filter algorithm of noise detection is proposed based on quartering.
为了精确的检测出图像中的脉冲噪声并滤除，提出一种基于四分法噪声检测的开关中值滤波算法。
The receiver structure based on discrete-time bistable system is designed for the constant binary signal detection, and it is compared with the matched filter in some cases of non-Gaussian noise.
然后根据离散时间双稳态系统，设计了处理常值二进制信号的接收器结构，在一些非高斯噪声下对接收器的检测性能与匹配滤波器进行了比较分析。
In order to preserve image fine details while de-noising, a new noise detection and adaptive filter method, which is based on fuzzy reasoning technique, was proposed.
为了在去除图像噪声的同时最大程度地保持图像细节，提出了一种基于模糊推理的噪声检测及自适应滤波方法。
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