dip10

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.)

matlab关于神经网络的全面教程（附源代码）(Matlab on Neural Networks comprehensive tutorial (source code))

power_voltmeasure.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_voltmeasure.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

这个是详细的粒子群算法代码。大家可以借鉴参考。(This is the detailed particle swarm optimization code. We can learn from the reference.)

frequency shift keying simulation in matlab

matlab关于图像增强方面的源码，供初学者使用(matlab source code on the image enhancement for beginners)

人脸识别方面LDA算法的matlab实现(regard LDA Face Recognition Algorithm Implementation of Matlab)

说明：  MATLAB以矩阵作为数据操作的基本单位，还提供了十分丰富的数值计算函数。MATLAB和著名的符号计算语言Maple相结合，使得MATLAB具有符号计算功能。(MATLAB with matrix as the basic unit of data manipulation, it also provides a very rich numerical functions. MATLAB and the famous combination of symbolic computation language Maple, MATLAB has a symbolic computing makes.)

卷积码是一种有记忆的编码，这里提供了卷积码的维特比译码函数(convolutional code is a kind of code memory, it provides Convolutional Codes Viterbi decoding function)

compiler available M16 absolutely the HD7279 drive test procedures [pml2dtm.zip] - photonic crystals can be calculated with the procedures used Matlab to prepare, easier to understand!