搜索资源列表
METHED_OF_STEEPEST_DESENT
- 通过最速下降算法研究基于梯度的自适应方法，最速下降是递归的，滤波器计算是一步步迭代进行-through the steepest descent gradient algorithm based on the adaptive method, the steepest decline is recursive, Filter is an iterative step by step
PF-EKF-WSN.rar
- 迭代扩展卡尔曼滤波，实现非线性滤波的功能，应用在无线传感器网络中,Iterative extended Kalman filter, nonlinear filter function implementation, applications in wireless sensor networks
kalman1
- kalman滤波算法的分析设计，首先分析设计模型，再进行初始化，最后进行kalman迭代计算，得到结果-kalman filter algorithm analysis and design, analysis and design models first, then initialized, and finally the kalman iterative calculations, the results
Stateestimationindistributiongrids
- observable distribution grid are investigated. A distribution grid is observable if the state of the grid can be fully determined. For the simulations, the modified 34-bus IEEE test feeder is used. The measurements needed for the state estimati
Nth_oct_Hand_Arm_AC_Filter_Toolbox
- This recreation makes the filters more stable. For high sampling rates the time records are downsampled. For the low sampling rates the time records are upsampled. Depending on the Filter types. Iterative resampling is used in the Nth octave band tim
wavelwts_transform
- 用下面的程序产生并显示与小波db4相关联的四个滤波器组.小波函数db4的迭代生成过程.单尺度一维离散小波分解与重构-With the following procedures and display associated with the db4 wavelet filter banks of four. Db4 wavelet function to generate the iterative process. Single-scale one-dimensional discrete wa
10.1.1.101.7122
- it is a development of iterative wiener filter it puts a clear creterion for convergence
AMSS
- 为了提高布匹瑕疵图像的滤波效果,针对检测过程中图像易受到多种混合噪声污染的特点,提出一种基于多尺度迭 代思想以改进AMSS 算子。将偏微分方程中的AMSS 方程以有限差分的形式离散化,依据量化尺度参数t 和尺度步长Δt ,采 用小尺度步长对污染图像进行多次迭代滤波。针对改进AMSS 算子的滤波结果,介绍了一种采用水平线算法进行效果分析 的新方法。实验结果表明,和其他算法相比,该滤波算法在滤除受未知混合噪声污染图像干扰的同时,能够更好地保留边缘 信息,从而达到更理想的平滑效果。-F
cs2235
- 基于轮廓波维纳滤波的图像压缩传感重构论文，利用了轮廓波维纳滤波去噪算子替代迭代阈值法中的阈值算子，进而提出了基于轮廓波维纳滤波的图像压缩传感的重构算法。-Contour-based image compression sensor Povina reconstruction filter paper, using the contour Povina filter denoising operator in the alternative iterative threshold method t
Iterative-adaptive-median-filter
- this code for iterative adaptive median filter
An_improved_ekf_new_methods
- 本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。-This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) th
mfile
- 简单写的一些图像预处理（灰度增强、小波高通滤波、LBP、迭代阈值分割、种子生长法etc）和RGB 、纹理（相关矩阵）特征提取-Write some simple image pre-processing (grayscale enhancement, wavelet high-pass filter, LBP, iterative threshold segmentation, seed growth method etc) and RGB, texture (correlation matri
Super-Resolution--
- 针对视频序列的超分辨率重建,提出了一种动态自适应滤波方法. 在最大后验概率估计和加权最小二乘 的基础上,给出视频序列超分辨率重建数学模型 深入研究了运动补偿矩阵和权值矩阵的构成和性质 详细推导了 自适应滤波器的递推公式 分析了算法的存储与计算复杂度. 仿真实验表明该算法的重建结果相当有效,相比双三 次插值和无运动补偿的单帧迭代重建,可以获得一定的PSNR 增益 与Elad 滤波方法相比,具有更小的计算量和 更强的自适应性和鲁棒性.-Super-resolution for th
metrix_vsnr
- This package contains a beta MATLAB version of the VSNR function from the paper "VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images," D. M. Chandler and S. S. Hemami, published in the IEEE Transactions on Image Processing,
mov
- 图像运动模糊和散焦模糊cpp代码，有模糊模型构建，维纳滤波去除模糊、LUCYRICH迭代法去除模糊，randon变换等多个算法程序。仅供参考-Image motion blur and defocus blur cpp code, fuzzy modeling, Wiener filter to remove fuzzy, LUCYRICH iterative method to remove fuzzy, randon transform algorithms and other proced
kalman-example
- 可以对卡尔曼滤波有较为准确的认识与理解，并且对迭代算法有一定的了解。 -Can to kalman filter have relatively accurate knowledge and understanding, and to have some understanding of iterative algorithm.
Particle-filter
- 粒子滤波程序，涉及粒子群的选取和更新，迭代计算得到滤波结果-Particle filter select and update procedures involving particle swarm the iterative calculation filtering results
nonlinear-state-constraints-filter
- 等式状态约束，解决了具有等式状态约束条件下的滤波问题，具有较好的滤波精度，时间复杂度较低。-Iterative shrinkage nonlinear state constraints filter
kalman-filter
- 从传感器中读取数据，然后利用kalman滤波进行迭代处理-Read data the sensor, then the iterative process using Kalman filter
Fast-O(1)Bilateral-Filter
- Fast O(1)双边滤波算法,由三角函数逼近方法实现非迭代算法，计算量不再受滤波窗口大小影响，只与图像大小有关，适合改进为GPU执行的并行算法（此函数还包含一个递归高斯算法）-Fast O (1) bilateral filtering algorithm, approximation by a trigonometric method to achieve non-iterative algorithm to calculate the amount of the filter window