matlab70primero

libsvm工具箱，用于分类的绝佳工具，也可用于非线性回归及预测，或拟合，其中文本分类是其长项，回归性能非常好(libsvm toolbox, an excellent tool for the classification can also be used for non-linear regression and forecasting, or fitting, of which text categorization is its long entry and return to a very good performance,)

test m-file for fsk modulation

在这个matlab源代码中实现连续的frft功能，它能在p=0.5——1.5之间实现(Digital Computation of the Fractional Fourier Transform)

DSMC for couette flow

：为了提升自动控制原理课程的教学质量，改善解决课程中计算复杂、公式繁杂、难以理解等问题，我们将Matlab 仿 真技术运用于这门课程中，这款软件有助于提高学生的主动性和兴趣，促进学生分析理解问题和解决问题的能力。文章 主要介绍了Matlab 的概述和特点，Matlab 仿真技术在自动控制原理课程教学中的应用和实例等内容。(: In order to improve the quality of teaching automatic control theory courses, courses to improve the computational complexity of solving the formula complicated, difficult to understand and so on, we will Matlab simulation technology used in this course, this software helps improve students' initiative and interest, promote students' ability to analyze and understand the problem and solve the problem. The article describes an overview of the content and features of Matlab, Matlab simulation technology in teaching automatic control theory and examples of applications and so on.)

单脉冲测角程序，实现阵列的比幅法和比相法测角(monopulse angle estimation processing， based on the amplitude comparison and phase comparison)

frequency expander. Matlab code for expander.When x is a vector, this function adds L-1 after each element of x. When x is a matrix, each column of it treated as vector and expanded L fold. SQUARE-ROOT RAISED-COSINE PULSE: h=sr_cos_p(N,L,alpha) This function generates a square-root raised-cosine pulse of length N+1. There are L samples per symbol period. alpha is the roll-off factor.

说明：  IEEE 14 bus 的matlab仿真模型(Matlab simulation model of IEEE 14 bus)

ofdm系统的简单仿真，基于matlab环境，可以借此更好的理解ofdm传输原理(simple simulation ofdm systems, based on the matlab environment, can take a better understanding of the principle of ofdm transmission)

使用FR共轭梯度法求解无约束问题 输入包括初始点，目标函数和梯度 输出包括最优点和最优解，还有迭代次数(Use FR conjugate gradient method for solving unconstrained problems including initial entry points, the objective function and the gradient of the output, including the advantages and the most optimal solution, as well as the number of iterations)