资源列表
eemscat
- 一种能够消除三维荧光瑞利散射，而且能对移去区域以内插值的形式引入，从而避免缺失值的出现-The function EEMscat is a function that takes an EEM dataset and removes scattering as well as (optionally) interpolates the removed areas such that there are no missing values introduced.
binarytree
- 二叉树的操作，涉及到三种顺序的遍历，树的凹入表示法，转化为一维数组储存，节点的计数，以及中序线索化。-Binary operation, involving three kinds of the order of traversal, tree concave representation into a one-dimensional array of storage, the node count, as well as in the threaded sequence.
parallel-sorting_GPU
- 基于CUDA的并行排序GPU-BBSort 需要NVIDIA显卡支持-CUDA Parallel Sorting on GPU-BBSort NVIDIA graphics support needed
Professor-Lu-Wusheng-lecture
- 陆吾生教授是加拿大维多利亚大学电气与计算机工程系的教授。此课件为其在国内大学短期精品课程的课件。包含最优化问题求解，压缩感知方法及其在稀疏信号和图像处理中的应用（压缩、重构、降噪等）。-Professor Lu Wusheng University of Victoria, Canada Professor of Electrical and Computer Engineering. The courseware for the University in the domestic short
MSSIM
- 用于图像的质量评估，比较原始图像与受躁图像之间的结构相似度。 -For image quality assessment, by comparing the original image and the structural similarity between the images impatient.
flightgear
- 以UDP的形式向flightgear发送信息 源码用VC编写，flightgear为2.0.0版本-Send a message with the VC,for flightgear
SOR
- 松弛因子的介绍（“松弛迭代法是高斯-塞德尔迭代法的一种加速方法，基本思想是将高斯-塞德尔迭代法得到的第k+1次近似解向量与第k次近似解向量作加权平均，当权因子（即松弛因子）w选择是适当时，加速效果很明显。因此这个方法最关键的是如何选取最佳松弛因子。"）和算法。-Relaxation factor of the introduction (" relaxation method is the Gauss- Seidel iteration method for an accelerated
SVM-neural-network-prediction
- SVM神经网络的数据分类预测-葡萄酒种类识别-SVM neural network prediction data classification- identifying wines
clustalx-2.1-win
- 这也是一款很好的多序列比对软件，在生物信息学的应用中很广泛-This is a very good multiple sequence alignment software, the application of bioinformatics is extensively
filter
- Hessian矩阵计算，在matlab下开发，二维三维-Hessian matrix calculations, developed under matlab, two-dimensional three-dimensional
fixedptc
- 用于数字信号处理的定点运算库，24.8格式-Fixed-point arithmetic library, 24.8 format
ex3
- 利用中心极限定理产生标准正态分布随机数，并进行检验；编制一个界面，产生（0，1）均匀分布随机数，并检验其主要统计量性质。-Central limit theorem using the standard normal distribution random number generation, and tested the preparation of an interface, resulting in (0,1) uniformly distributed random numbers,