搜索资源列表
linfinity
- 用于空间点重构，图像单应估计，摄像机位置确定的基于无穷范数的代码-For space-point reconstruction, the image alone should be estimated, the camera position to determine the code based on the infinite norm
ShuZhiFenXi4
- 单位圆的内插实现，里面有4种内插算法：拉格朗日插值、牛顿插值、分段线性插值、分段样条插值、以及插值误差范数估计-Interpolation to achieve the unit circle, which has four kinds of interpolation algorithms: Lagrange interpolation, piecewise-linear interpolation, sub-spline interpolation, as well as Norm inte
jingeiARTYU
- 本资料的功能为：运用数学统计方法和时间序列分析方法对原始振动信号进行分析，获取相应的时域，频域，频域及时间序列模型参数并以此作为特征参数，然后运用距离区分技术进行评估，选取敏感的特征参数作为ART-similarity分类器的输入并进行训练，最后便可识别出设备的性能状态。 基于YU范数对承不同预紧状态的分析，针对进给系统所采集的数据样本事先不知其对应的状态时，则可利用基于YU范数的ART-Similarity监督分类器对其进行诊断分析。针对基于Yu范数ART-Similarity的算法
work1
- 计算一个501×501带状矩阵的最大特征值、最小特征值、谱范数条件数和行列式值。內附完整的问题描述说明文档。-Calculating a 501 × 501 matrix band maximum eigenvalue, the smallest eigenvalue, spectral norm condition number and determinant values. Included a complete descr iption of the problem.
distmat
- D = DISTMAT(X,Y) for matrices X and Y returns the distance matrix where the (i,j)th entry is the d-norm distance between the ith and jth row of X and Y respectively.
irntv
- TV正则化去卷积the Iteratively Reweighted Norm algorithm for solving the generalized TV functional, which includes the L2-TV and and L1-TV problems-An Iteratively Reweighted Norm Algorithm for Minimization of Total Variation Functionals
WiMAX-Antenas
- Lack of standards and spotty frequency availability in the sub-11 GHz region has forced many original equipment manufacturers (OEMs) and network operators to specify unique custom antennas for base stations and backhaul in broadband wireless poin
fastKICA
- 盲源分离FastICA、matalab程序，-FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA
minnorm
- MIMO信道matlab仿真程序时 一种求某矩阵范数最小的函数-A function of the minimum norm
l1magic
- l1magic，一个很好的求解１范数最小优化问题的工具包。-l1magic，1 norm minimization optimization algorithm
SolveOMP
- 匹配追踪算法求解1范数，有需要的可以下载使用-Matching pursuit algorithm for solving a norm, there is need to download
1111
- Btv双边全变分正则化重建方法及重建方法其发展- Using L1 norm minimization and robust regularization based on a bilateral prior to deal with different data and noise models
theoryandapplicationforfanshu
- 该文档详细的描述了向量范数和矩阵范数的计算及应用，对于处理算法中经常遇到的范数简化有很大的作用。-A detailed descr iption of the document vector norm and the matrix norm calculation and application of processing algorithms for the norm are often encountered in the role of simplified greatly.
diedai
- 通过设置矩阵大小数，自动地利用雅克比迭代和高斯赛德尔迭代计算结果以及利用范数计算误差-Matrix size by setting the number of auto-use and high Sisaideer Jacobi iteration iterative calculations and the use of norm calculation errors
error2d
- Computes the FE error measured in the L2- and H1-norm for 2D problems. Especially useful for illustrating the error decay of piecewise linear finite elements in the common norms.
normColumns
- Data stored column-wise in an input matrix are normalized as time series, with options to output just the normalized data, or the norm of each column as well. Fast, uses no loops.
gaborandnorm
- gabor是将图像转换成gabor特征，增强系统鲁棒性，使其不易受外界条件影响；norm是将图像的灰度值统一归一到一个范围内，便于同等使用图像。-gabor gabor is a feature to convert images to enhance the system robustness to make it less susceptible to external conditions affect norm is a uniform gray value image normali
hard_l0_Mterm
- Hard Iterative Thresholding Sparse Signal Reconstruction for Compressive Sensing L0-norm Minimization
knnsearch
- KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors- KNN classifiers, training is training set, testing is test set,
Counter
- KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors- KNN classifiers, training is training set, testing is test set,