Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
The result of experiments show that color C-V method is far better than traditional methods when it transacts halftone images within fuzzy edges and severe pollution of noise.
实验表明，彩色C-V方法用于分割边缘模糊和噪声污染较为严重的网点图像时，效果大大优于传统的分割方法。
At last, the application of the algorithm proposed to head MRI segmentation and comparative experiments to show that the algorithm have great ability of detection the noise and the fuzzy edge.
最后将算法应用到颅脑磁共振的图像分割当中，实验结果表明新算法具有很强的噪声和模糊边界的检测能力。
In the design of fuzzy expert controller, put forward a data pretreatment algorithm with strong noise resistance, it provides the condition for the high control performance.
在模糊专家控制器设计中，提出了抗噪声干扰能力强的数据处理算法，为控制器的高品质控制性能提供了条件。
The effect of natural background and noise in infrared image, fuzzy edge of infrared object, make it difficult to segment and label artificial object in natural background.
自然背景复杂的纹理特征和红外图像中的噪声影响，以及红外目标模糊的边缘，给红外目标的边界检测和分割带来一定的困难。
A new algorithm of mixed noise removal for digital image is presented combing median filter and fuzzy technology.
结合中值与模糊滤波技术，提出了一种新的图像混合噪声滤波算法。
A noise cancellation system based on fuzzy adaptive filter is presented in this paper.
给出了一种基于模糊自适应滤波器的非线性噪声对消系统。
Each sensor has its corresponding fuzzy factor and parameters of noise level.
不同的传感器对应不同的模糊因子和噪声。
A new kind of design method of fuzzy detector based on signal detection in pulse noise is presented in this paper.
本文提出了一种基于脉冲噪声中信号检测的模糊检测器的设计方法。
The adaptive Fuzzy Neural Network is employed for adaptive noise cancellation.
讨论了基于自适应模糊神经网络的噪声抵消器的设计方法。
The fuzzy impulse noise detector USES the median value and neighborhood information in the window to detects impulse noise. The impulse noise canceller USES minimum-maximum estimate method.
模糊脉冲噪声检测器用窗口内的中值与邻近像素信息来检测脉冲噪声，而脉冲消除器用最小最大值算法计算噪声像素的估计值。
According to the feature of the MRA, this paper presents a noise filtering method of adaptive fuzzy threshold for wavelet classification base on multi resolution.
针对小波变换多分辨分析(mra)的特点，本文提出一种多尺度分级的自适应模糊权重中值滤波的去噪方法。
The field image from an imaging sensor can be described as two parts, one is the ideal image multiplied by a fuzzy factor, the other is stochastic noise.
将它乘上一个模糊因子，再加上随机噪声，可用来描述某一个成像传感器中获得的场景图像；
The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.
文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。
The filter consists of a fuzzy impulse noise detector, impulse noise canceller and fuzzy jointer.
该滤波器由模糊脉冲噪声检测器、噪声消除器与模糊结合器构成。
And then, the above features are used by a simple and efficient fuzzy expert system for line-spectrum recognition, which is newly developed for picking out noise points.
然后研制了一个简单高效的线谱识别模糊专家系统，根据提取出的线谱特征，进一步剔除噪声点。
This paper proposes a method named fuzzy filtering of remote sensing images based on noise checking.
提出了一种基于噪声检测的遥感图像模糊滤波方法。
A new efficient fuzzy weighted mean filter approach to the restoration of images corrupted by mixed noise was proposed.
针对图像混合噪声提出了一种新型的模糊加权均值滤波算法。
The thesis uses fuzzy neural network' s approach ability to prove that a fuzzy neural network with a finite rule number can optimally predict a chaotic system with noise.
本文利用模糊神经网络的通用逼近性，证明了在噪声情况下利用有限规则数的模糊神经网络可以以最小的误差预测混沌系统。
AFCN (adapted fuzzy cluster neural network) is introduced to keep up trade-off between noise attenuation and detail preservation in image processing.
为了获得滤除噪声和细节保留两方面更好的平衡，提出了一种自适应模糊聚类神经网络。
Without considering the spatial information of images, the original fuzzy C-means algorithm is very sensitive to image noise.
由于原始的模糊c -均值聚类算法没有考虑图像的空间信息，算法对图像中的噪音点十分敏感。
A fuzzy model was applied to control the ball mill noise, then, an online fuzzy control of material feeding of ball miller can be actualized.
将模糊控制应用于球磨机噪声的控制，实现了选矿厂球磨机给矿的模糊在线控制。
Noise canceling by using fuzzy inference system is studied. A kind of nonlinear noise cancellation algorithm based on T-S fuzzy model is proposed.
对模糊推理系统在噪声消除中的应用进行了研究，提出了一种基于T - S模糊模型的模糊非线性噪声消除算法。
In this paper the speech enhancement method based on fuzzy system is discussed in strong background noise, and a comparison is made between this method and the spectral subtraction algorithm.
讨论强背景噪声下的基于模糊系统的语音增强方法，并与减谱法语音增强算法进行比较。
The fuzzy impulse noise detector using median value and neighbourhood information detects impulse noise. The impulse noise canceller USES minimum -maximum estimate method.
模糊脉冲噪声检测器用窗口内的中值与邻近像素信息来检测脉冲噪声，而脉冲消除器用最小最大值算法来计算噪声像素的估计值。
In order to improve the segmentation performance of images corrupted by impulse noise and Gaussian noise, fuzzy weighted support vector machine is proposed.
针对图像在获取和传输过程中易受各种噪声污染的事实，为了提高支持向量机对噪声图像的分割性能，提出了模糊权重支持向量机。
The modified edge detection operators can not only overcome the fuzzy of edge to some extent and extract more details of edge, but also effectively eliminate the impact of noise.
修正后的边缘检测算子在一定程度上克服了边缘的模糊性，提取出更多的细节边缘，又能有效地消除噪声的影响。
Because of the noise in the image signal and all kinds of fuzzy edge combined in the image, the edge detection is one of the difficult problem in the image processing.
然而，边缘检测又是图像处理中一个困难的问题，因为实际景物图像中的边缘往往是各种类型的边缘以及它们模糊化后结果的组合，实际图像信号存在着噪声。
Vehicle; Interior noise; Fuzzy control;
汽车；车内噪声；模糊控制；
Then a fuzzy filter is adopted to remove Gaussian noise.
然后对含有高斯噪声的图像以模糊滤波算法进行降噪处理。
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