新建文件夹 (3)

芬兰学者Simo Sarkka 所著《贝叶斯滤波与平滑》一书中的程序，包括容积卡尔曼滤波、高斯厄米特积分滤波和粒子滤波(Programs in the book Bayesian Filtering and Smoothing by Finnish scholar Simo Sarkka, including volumetric Kalman filter, Gaussian Hermitian integral filtering and particle filtering)

说明：  可绘制三维等高线图，为广大的学生解决了绘图的难题，这有利于matlab的传播和使用(Drawing three-dimensional contour map)

说明：  为了提升配网供电可靠性的预测精度!提出了基于主成分分析和粒子群优化极限学习机的配网供电可靠 性预测模型$ 从多方面分析影响供电可靠性的指标!利用主成分分析得到综合变量!实现对数据的降维$ 在此基 础上!构建人工神经网络并利用粒子群算法优化极限学习机的输入权值和阈值!完成对训练供电可靠性预测模型 的训练$ 以某大型电网的 ?L 个供电局样本 !% 种影响供电可靠性因素为例进行仿真分析!并将 E S R C E FQ C 4 G D算 法与 ! 种回归拟合算法对比!验证了该方法的有效性(It is clear that the learning speed of feedforward neural networks is in general far slower than required and it has been a major bottleneck in their applications for past decades. Two key reasons behind may be: (1) the slow gradient-based learning algorithms are extensively used to train neural networks, and (2) all the parameters of the networks are tuned iteratively by using such learning algorithms. Unlike these conventional implementations, this paper proposes a new learning algorithm called extreme learning machine (ELM) for single-hidden layer feedforward neural networks (SLFNs) which randomly chooses hidden nodes and analytically determines the output weights of SLFNs. In theory, this algorithm tends to provide good generalization performance at extremely fast learning speed. The experimental results based on a few artificial and real benchmark function approximation and classification problems including very large complex applications show that the new algorithm can p)

说明：  stm32mini开发板各项试验库函数版本(Stm32mini development board test library function version)

SCMA with LDPC code

说明：  距离波们拖引干扰，雷达信号，matlab仿真(matlab radar simulate)

作者：刘旭 康厚文,功能：树型菜单,var strHTML=""; //定义生成的HTML树.测试环境，ASP.NET 3.0，在网页上实现 树形结构的折叠、展开风格菜单。

利用泊松过程，实现泊松点过程和泊松簇过程(Poisson point process and poisson cluster process are realized by poisson process)

说明：  计算机视觉教程，图像处理，渲染，图像识别，3D重建等(Computer Vision: Algorithms and Applications)