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说明：  最小二乘支持向量机的程序包，包括了模型的训练和测试的各种函数。(Support Vector Machine package, including training and testing models of various functions.)

本程序的功能是：实现惯性导航参数的自标定过程。(Realize the self-calibration process of inertial navigation)

实现了电梯客流仿真，且运行结果与实际相符(realize the simulation of passengers who will take elevator. The results are the same as fact. )

communication simulation-matlab

说明：  字典树的基本功能是用来查询某个单词（前缀）在所有单词中出现次数的一种数据结构，它的插入和查询复杂度都为O(len),Len为单词（前缀）长度，但是它的空间复杂度却非常高，如果字符集是26个字母，那每个节点的度就有26个，典型的以空间换时间结构。(The basic function of the dictionary tree data structure is used to query a number of times a word (prefix) appears in all the words, which insertion and query complexity are O (len), Len is a word (prefix) length, but its space complexity is very high, if the character set is 26 letters, and that the degree of each node will have 26, the typical structure of space for time.)

现代通信系统(matlab版本)第二版，第一章的第一个例题程序.(Modern communication systems (matlab version) second edition, the first chapter of the first Example program.)

电缆模型函数的绘制程序，包括电缆屏蔽层与地之间的模型(XLPE Cable model)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成 (MUSIC algorithm is a feature space based on matrix decomposition method. From the geometric point of view, the observed signal space can be decomposed into signal subspace and noise subspace, it is clear that two spaces are orthogonal. Signal subspace to the data received by the array covariance matrix and the eigenvector corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector corresponding to the composition )

超声2维成像，运用DAS算法，算法比较简单，可供初学者看看。(2-dimensional ultrasound imaging, the use of DAS algorithm, the algorithm is relatively simple for beginners to see.)

串行干扰消除技术有利于消除MIMO系统的多天线干扰，本文件包含ZF-sic与MMSE-sic(Serial interference elimination technology to eliminate the antennas of the MIMO system interference, this file contains the ZF- sic and MMSE- sic)