lle

实验一：三次样条插值（P56，例6） 一、实验目的： 1) 掌握三次样条插值的运用 2) 了解拉格朗日插值在高次上的误差 二、实验环境：Matlab6.5 三、实验内容： 1) 给定函数f(x)=1/(1+x2)，-5<=x<=5，节点xk=-5+k，(k=0,1,2…10)，用三次样条插值求S10(x)，S10’(-5)=f’(-5)，S10’(5)=f’(5)。 2）作原函数f(x)，拉格朗日插值函数Ln(x)，三次样条差值函数Sn(x)。画出三个函数的图像，比较它们的区别。 (Experiment I: cubic spline interpolation (P56, cases of 6) First, the experiment was: 1) cubic spline interpolation to master the use of 2) understanding of Lagrange interpolation in high-error second, experimental environment: Matlab6 .5 c, experimental elements: 1) a given function f (x) = 1/(1+ x2),-5 <= x <= 5, node xk =- 5+ k, (k = 0,1,2 ... 10), using cubic spline interpolation for S10 (x), S10 (-5) = f (-5), S10 (5) = f (5). 2) for the original function f (x), the Lagrange interpolation function Ln (x), cubic spline difference function Sn (x). Draw the three functions of images, compare the difference between them.)

图像检测标定的方法测量海绵的位移量，附多幅实拍图像(Calibration image detection method for measuring the displacement amount of the sponge，attached pieces of real film images)

这个例子显示了一个静止同步补偿器（STATCOM）用于中点电压调节的500千伏输电线路。(This example shows a Static Synchronous Compensator (STATCOM) used for midpoint voltage regulation on a 500-kV transmission line.)

说明：  室内麦克风阵列声源定位算法研究和实现预处理和定位部分代码(Indoor microphone array sound source localization algorithm research and implementation of pre processing and positioning part of the code)

calculates positional/rotational sensitivity of an

基于k均值的强化学习的状态和动作的选择，可以有效的解决维灾难问题。(q learning with k-means )

这是 simulink 里面simmechanics的一个模型文件 双曲柄齿轮机构 基础部件 通过修改参数可以仿真很多实例 很实用(This is a simulink model file inside simmechanics double crank gear basic components can be simulated by modifying the parameters of many examples of very practical)

详细介绍了机器学习中非监督学习的内容、分类和方法(This document introduces the unsupervised learing of Machine learning with details.)

neural networks trainer

fcnFrostFilter performs noise filtering on an image based on an adaptive filter proposed by Frost. [1] V. S. Frost, et al., "A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise," IEEE Trans. Pattern Anal., Machine Intell., vol. 4, no. 2, pp. 157-166, Mar. 1982.