搜索资源列表
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
wlsFilter
- 加权最小二乘滤波器wls，对应原论文Edge-Preserving Decompositions for Multi-Scale Tone and Detail的代码，以matlab实现-Weighted Least squares filter wls, the corresponding the original thesis Edge-Preserving Decompositions for Multi-Scale Tone and Detail of code, using matla
FJQZXECunwrap
- 非加权最小二乘解包裹算法，可以消除解包裹的噪声干扰-Non-weighted least squares unwrapping algorithm
weighted-least-squares-filter
- 基于加权最小二乘最优化框架的滤波器。可用于实现图像的分层编辑。-Weighted least square
hdr-example
- 基于加权最小二乘的滤波器。实现应用的例子。-weighted least square
WLS_MV
- 加权最小二乘迭代求解多参数估值。用于求解平差问题及其他领域优化问题。-The weighted least-squares iterative solution of multi-parameter estimates. Adjustment for solving optimization problems and other problem areas.
phaseunwrap11
- 傅里叶对干涉相位梯度进行变换，以执行一种新的加权最小二乘-Fourier transform on the interferometric phase gradient to perform a new weighted least squares
WLSSVM
- 能实现简单的加权最小二乘支持向量机算法，是个例子-To achieve a simple weighted least squares support vector machine algorithm, is an example
wls
- 实现加权最小二乘拟合，经典的系统辨识方法，很管用-Achieve a weighted least-squares fitting, classical system identification methods, it is useful
interphase
- 通过本程序，运用加权最小二乘算法找到室内的某些特征点-Through this program, to find some feature points indoors
Weighted-Linear
- 加权最小二乘，VC源代码，有详细注解，Weighted-least-squares-Weighted-least-squares C++ code
603Grid
- VB源代码下载，VB生成Grid等值线程序，源码内包括有多个等值线测试数据，并包含多种网格化方法：三角平面插值法、双二次三角曲面光滑插值、双三次三角曲面光滑插值、按距离平方反比加权插件、按方位取点加权插值、趋势面拟合、加权最小二乘曲面拟合等。如果载入的测试数据已经是网格化数据，则程序会给出判断并提示无需网格化-VB source code download, VB Grid contour generation process, the source includes a plurality o
RWLS
- 加权最小二乘一次完成法 系统辨识 实际传递函数为(4s+6)/(s^3+1.5s^2+4.5s+2)-WLS，System Identification
WLS
- 加权最小二乘一次完成法 系统辨识 实际传递函数为(4s+6)/(s^3+1.5s^2+4.5s+2)-System Identification.（WLS）
IRWLS-SVR-code
- IRWLS-SVR即基于迭代加权最小二乘的支持向量机回归-IRWLS-SVR，Support vectors based on iteratively reweighted least squares
Study-of-Hydraulic-Model-Calibration
- 本文以管网阻力系数校核、节点流量实时校核与漏损定位为主要研究内容，提出了基于经验信息的加权最小二乘管网阻力系数校核法。-In this paper, the pipe network drag coefficient checking, checking and real-time traffic node leakage positioned as the main research content is proposed based on the weighted least squares
IRLS
- 迭代重加权最小二乘算法，程序可以直接运行，并且给出了实例-Iterative reweighted least squares algorithm, the program can be run directly, and gives examples
2WLS-TDOA-Source-Location
- 基于两步加权最小二乘的多站时差辐射源定位算法-Two-stage weighted least squares source location
wltsvm
- 加权最小二乘双支持向量机算法应用实例，作为学习双支持向量机的例子应用-Weighted least squares double support vector machine
zuixiaoerchengyichuansuanfa
- 基本最小二乘和加权最小二乘算法程序（包括一次完成算法和递推算法）-Basic least squares and weighted least squares algorithm (including one-time completion algorithm and recursive algorithm)