模糊滤波,fuzzy filter
1)fuzzy filter模糊滤波
英文短句/例句
1.Minimum Distance Fuzzy Filters for Dot-Matrix Character Recognition用于点阵字符识别的最小距离模糊滤波器
2.Algorithm for TerraSAR-X Image Speckle Noise Reduction Based on Fuzzy Filter Kernel基于模糊滤波核的TerraSAR-X图像Speckle噪声抑制算法
3.Research on Nonlinear Filtering Based on Fuzzy Neural Networks;基于模糊神经网络的非线性滤波研究
4.Adaptive Fuzzy Backstepping Fault Tolerant Control Based on K-Filter基于K滤波的自适应模糊Backstepping容错控制
5.Fuzzy dissipative filtering for nonlinear systems with stochastic delay随机时延非线性系统的模糊耗散滤波
6.Fuzzy detection and filtering of impulse noise for color images彩色图像脉冲噪声的模糊检测和滤波
7.Improvement on Product High-Order Ambiguity Function by Iterative Filtering利用迭代滤波改进乘积高阶模糊函数
8.Wavelet Transform and Fuzzy Median Filter for Image Edge Detection基于小波变换和模糊中值滤波的图像边缘检测
9.(∈,∈∨q)-Fuzzy BCK-filters(∈,∈∨q)-模糊BCK-滤子
10.Research on Algorithm of Fuzzy Control and Digital Filter for AMB磁力轴承的模糊控制与数字滤波算法研究
11.Image Hybrid Filtering Research and Implementation Based on Fuzzy Technology;基于模糊技术的混合滤波算法研究与实现
12.Research on the Automobile Clutch Performance Test Platform Based on Fuzzy-PID Control with Kalman Filter离合器性能试验台卡尔曼滤波模糊PID控制
13.The realization of a kind of adaptive filtering algorithm of fuzzy一种模糊自适应滤波算法的研究与实现
14.Fuzzy Adaptive Kalman Filtering Technique and its Application to Integrated Navigation System of Vessel模糊自适应滤波在车载组合导航系统中的应用
15.Fuzzy Kalman Filter for Maneuvering Target Tracking一种模糊Kalman滤波机动目标跟踪的新算法
16.Target Tracking Based on Combined Kalman Filter and Fuzzy Logic基于卡尔曼滤波与模糊逻辑的目标跟踪
17.Improved Doppler Centroid Ambiguity Resolving Algorithm of SAS Based on Time-frequency Filtering基于时频滤波的SAS解多普勒质心模糊改进算法
18.Algorithm based on fuzzy clustering and particle filter for tracking multiple cross-moving point targets模糊聚类粒子滤波的点状交叉多目标跟踪算法
相关短句/例句
fuzzy filtering模糊滤波
1.Usingfuzzy filtering technology and fractal technology, fuzzy fractal filtering is brought forward to effectively solve multi-wave disturb and to shorten the radar sub-wave duration on reflect interface that improve the resolution of radar signal.应用模糊滤波技术和分形技术相结合的方法 ,提出模糊分形滤波技术 ,有效的解决了多次波干扰的问题 ,同时缩短了雷达子波在反射界面的延续时间提高了探地雷达信号的分辨率。
2.Since Prony algorithm has high requirement to the input signal and sensitive to the noise of analysis data, this paper proposes afuzzy filtering and Prony algorithm combined online identification method for power system low-frequency oscillation.考虑到Prony算法对输入信号要求较高、对分析数据的噪声非常敏感,提出一种模糊滤波和Prony算法相结合的电力系统在线低频振荡模式的辨识方法。
3.This paper proposes a method namedfuzzy 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。
3)Fuzzy filter模糊滤波器
1.A detail-preserving fuzzy filter is adopted to reduce Gaussian noise contained in other pixels.该方法首先采用基于人眼视觉特性的噪声敏感系数作为阈值来确定脉冲噪声点,对检测出脉冲噪声点采用自适应窗口大小的迭代中值滤波进行滤波,而对于含有高斯噪声的像素点则采用一种保护细节的改进的自适应模糊滤波器进行处理。
4)fuzzy Kalman filtering模糊Kalman滤波
1.To achieve this goal mobile tanks right to the effective tracking the background of the traditional Kalman filter algorithm computation larger,more information prior to the shortcomings,a neural network-based mobile target trackingfuzzy Kalman filtering algorithm is presented.以实现坦克对机动目标的有效跟踪为背景,针对传统Kalman滤波算法存在的计算量较大、需要先验信息较多的缺点,提出了一种基于神经网络的机动目标跟踪模糊Kalman滤波算法。
5)Fuzzy filter kernel模糊滤波核
6)Fuzzy direction filter模糊方向滤波
1.The paper introduces the characters of synthetic aperture radar imaging,and discusses the fuzzy direction filtering method based on direction filter and fuzzy logic.探讨了基于方向滤波器和模糊逻辑的模糊方向滤波法,此方法首先将图像进行特征平面增强并模糊化,并获得模糊参数,然后根据模糊规则计算隶属度,以具有相应最大隶属度的像素构成最后滤波结果,达到既滤除噪声又保留图像细节的目的。
延伸阅读
波数字滤波器由两端终接电阻负载的无源LC梯形滤波器导出的一种数字滤波器结构。应用双线性变换S=k(1-Z-1)/(1+Z-1)可将用波参数描述的无源元件,实现为数字元件。表1列出了无源元件R、C、L及其对应的由延时单元、乘法器和加法器构成的数字元件。通常高阶递归型数字滤波器的级联型或并联型有产生极限环振荡的危险。此外,在输入信号非常小时,由于舍入误差的高度相关，也可能导致数字滤波器的不稳定而产生固定振荡。1971年，提出波数字滤波器的伪无源性概念，并论证了这种数字滤波器的低灵敏度特性。波数字滤波器具有良好的稳定性，可以用较短的系数字长实现，有良好的动态范围，不会出现极限环振荡（即在环路情况下应用也不会出现任何杂散振荡）。这种数字滤波器特别适用于通信系统。在波数字滤波器结构中，用波参数描述的元件，在联接时必须遵从端口间阻抗匹配的原则。相应地，数字元件之间的联接按其为串联或并联分别采用由乘法器和加法器构成的串联适配器或并联适配器匹配联接。适配器符号及其对应的联接关系见表2。图为三阶椭圆型低通LC 梯形滤波器及其等效的波数字滤波器。波数字滤波器的另一种结构称为波格型数字滤波器，是由对称型或格型无源LC 滤波器导出的。参考书目A. Antonious, DigitalFilter : Analysisand Design,McGraw-Hill Co.,New York,1979.
