matlab小波分析

拉格朗日插值函数MATLAB源代码，此代码主要用于进行数值插值时使用。(MATLAB source code for Lagrange interpolation function)

本程序生成的图片容量大概3M左右，所以对计算机配置要求较高。(This program generates pictures capacity probably about 3M, so the higher the computer configuration requirements.)

matlab编写的读取IGS广播星历文件（.n）文件的程序。读取完成后将数据分类储存为cell格式和struct格式。(Matlab prepared to read IGS broadcast ephemeris file (.N) file procedures. After reading is finished, the data is sorted into cell and struct format.)

This is the q p s keying signallling. just use wid the given pulse to modulate the pulse.

可以求出五自由度的并联机器人的系统频率，及动平台的速度、位移及加速度图形(System frequency of the five degrees of freedom parallel robot.)

二维声波正演程序！规则网格的时间空间二阶波动方程有限差分正演，matlab编写！！(Two-dimensional wave medling program! matlab prepared! ! Forward seismic acoustic source)

针对线性混合信号盲分离时，源信号概率密度与激活函数难以确定时（尤其是源信号中既含超高斯信号，又含亚高斯信号时），依据信号pdf的一种测度--峭度，自适应的确定激活函数，实现信号的盲分离，是一种基于峭度开关的盲分离算法。(Linear mixed-signal for blind source separation, the source signal probability density function with the activation when it is difficult to determine (especially the source of the signal with both super-Gaussian signals, but also with sub-Gaussian signal), signal pdf based on a measure-- Kurtosis, adaptive activation function of determining and achieving blind signal separation, is a switch-based kurtosis blind source separation algorithm.)

智能微粒群为最小二乘支持向量机调参的示例程序（LSSVM+PSO）(Intelligent Particle Swarm and least squares support vector machine modeling(LSSVM+ PSO))

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

说明：  数字信号处理中DSP中的matlab编程，有关汉明窗函数，汉宁窗以及凯撒窗的编写。(DSP digital signal processing in matlab programming, the Hamming window function, Hanning window, and the preparation of Caesar.)