Center_Square

利用matlab程序，进行线性回归建模方法(Matlab program to use to carry out linear regression modeling method)

说明：  本文件包含了MATLAB语言常用算法程序，可为初学者提供有效快捷的学习通道。(This document contains the MATLAB language commonly used algorithm program for beginners to learn to provide effective and efficient channel.)

This function calculates displacement response at interfaces of an elastic multilayered medium to a vertically propagating unitary SV or SH elastic wave. The function can be used to calculate the displacement response in a layered soil profile. Transfer functions between interfaces can be easily calculated by division of the total (=upward+downward) displacement response on the corresponding interfaces.

说明：  非常实用的几个程序代码，请大家继续编程进行完善。(Several very useful code, please continue to improve programming.)

a f16 fighter aircraft model

matlab环境下实现对手写体数字的分类识别(Handwritten Arabia digital numeral recognition)

几道简单的数学建模（体重变化 水的流出时间 简单线性规划 简单随机库存 水道测量 层次分析法）是当初的建模作业 有分析 也有matlab和mathematica程序(A few simple mathematical modeling (body weight change in the water outflow time of a simple linear programming simple random inventory hydrographic AHP) is the original analytical modeling operations have matlab and mathematica program)

小波分析概念及应用，包括小波变换基础和各种类型的小波变换(wavelet transform)

信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。 研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。 (Signal transmission channel often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) electronic dispersion equalizer of the ways to overcome optical fiber communications in a variety of dispersion caused by the inter-symbol interference. Research based on the maximum likelihood sequence estimation (MLSE) of the equalizer, the Viterbi algorithm, a simulation using matlab after using MLSE performance indicators (eye diagram and bit error rate) of the upgrade.)

采用伪随机原理产生有窗口特性的彩色编码图,对于研究三维重建的朋友有用,采用matlab编写,请多多指教!QQ:526289(using pseudo-random produced a window characteristics of color-coded map, three-dimensional reconstruction of useful friends, prepared using Matlab Please excuse us! QQ : 526289)