PCA

It is a FDTD program which produce Black-Man-Harris Source in free space.

说明：  用VHDL语言在CPLD/FPGA上实现浮点运算的方法(in VHDL CPLD/FPGA achieve floating-point computation methods)

ecualizacion del histograma

基于分段非线性权重值的Pso算法，最大似然（ML）准则和最大后验概率（MAP）准则，matlab编写的元胞自动机，重要参数的提取，表示出两帧图像间各个像素点的相对情况，预报误差法参数辨识-松弛的思想。

online viterbi algorithm

光纤倏逝场传感器对甲醇 （CH3OH）和乙醇（C2H5OH）基于变形光学溶剂 纤维芯的报道。现有的U型的敏感性 探讨提高延长暴露芯线圈形状 一个半圈的形成，核心行进 三弯曲的形状。利用可见光的波长区域（VIS） 甲醇/乙醇从0 到10 所示的浓度 的弯曲形状的传感器使测定灵敏度 更好的甲醇浓度比0点05 和 乙醇的浓度比0 在650nm。这有利于 低成本的光源和接收器使用规定 这个波长范围以及聚合物的光的利用 纤维导光和从传感器，从而导致较低的 成本的应用相比，所有的二氧化硅或聚合物包层石英光纤 在近红外（NIR）解决方案或紫外线（UV）波长 范围。 (An optical fibre evanescent field sensor for methanol (CH3OH) and ethanol (C2H5OH) solvents based on deformed optical fibre cores is reported. The sensitivity of an existing U-bend probe is increased by extending the exposed core to a coil shape of one and a half turns and by forming the core to a meander shape with three bends. Using the visible wavelength area (VIS) and methanol/ethanol concentrations from 0 to 10 it is shown that the sensitivity of the meander shape sensor enables the determination of methanol concentrations of better than 0:5 and of ethanol concentrations of better than 0:2 at 650nm. This facilitates the use of low cost optical sources and receivers provided for this wavelength range as well as the utilization of polymer optical fibres to guide the light to and from the sensor which results in low cost applications compared to all silica or polymer clad silica fibre solutions in the near-infrared (NIR) or ultra-violet (UV) wavelength range.)

Capacity model for MATPOWER

光学字符识别通常简称为OCR，是机械 or 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used. -ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.

this is create template using matlab