搜索资源列表
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2下载：
非局部均值（Non-local Mean）SAR滤波，matlab程序-Non-local mean (None-local Mean) SAR filtering, matlab program
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非局部均值滤波的算法，还不错哦~自己觉得很好-Non-local mean filter algorithm, is also a good feel oh well
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实现非局部平均去噪算法（non local mean）-The realization of non-local denoising algorithm on average (non local mean)
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实现对InSAR复相位信号进行基于局部频率估计的“斜坡自适应（slope-adapt）滤波”
此滤波方法特别适用于InSAR相位图滤波，能在最大限度保持有用信息的条件下滤除各种噪声。-A matlab function of Slope-adapt-filter for InSAR phase filtering.
It is based on local frequency estimation.
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函数实现对InSAR复相位信号的基于局部频率估计的“斜坡自适应滤波”
此滤波方法特别适用于InSAR相位图滤波，能在滤除噪声的同时最大限度地保留有用信息-This matlab function is for InSAR phase filtering,usually called "slope adapt filter".It is based on local frequency estimation.
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主要对扩展卡尔曼滤波（EKF）、无迹卡尔曼滤波（UKF）及改进无迹卡尔曼滤波（MAUKF）算法进行研究，研究了三种算法的基本原理和各自的特点。其中扩展卡尔曼滤波器是将卡尔曼滤波器局部线性化，其算法简单，计算量小，适用于弱非线性、高斯环境。无迹卡尔曼滤波器是用一系列确定样本来逼近状态的后验概率密度。改进无迹卡尔曼滤波算法在UKF的基础上引入衰减因子。-The thesis focuses on the extended Kalman filter (EKF), unscented Kalman f
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This only a matlab program for non local means denoising filter implementation.-This is only a matlab program for non local means denoising filter implementation.
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this zip file contains matlab implementation for generating gabor filter banks and applying on image directory and then followed by applying local directional pattern for feature extraction and histogram for each image is calculated
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This MATLAB software implements the denoising algorithm (the Probabilistic
Patch-Based filter) for images damaged by multiplicative Nakagami-Rayleigh
noise as presented in: Iterative Weighted Maximum Likelihood Denoising
with Probabilistic Patc
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1. 使用matlab自带的人脸识别工具（Viola-Jones算法）找出人脸的位置，并裁剪出人脸区域。
2. 使用Gabor滤波器识别出人脸的局部特征及纹理。
3. 训练一个SVM进行表情分类。
4. 交叉验证得到表情分类正确率为83.3 。
操作说明和系统描述请见ReadMe.-1. Using matlab with face detection tool (Viola-Jones algorithm) to find the location of a human
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