test_main

我学习信号系统时原创的用matlab实现的谐波提取 ，两种方案，先分频再提基波，或者利用带通滤波器(I study the signal system to achieve an original harmonic extraction using matlab, the two programs, the first frequency and then Ti Jibo, or the use of band-pass filter )

METLAB BOOKS VERY SIMPLE

根据 DVB-T 欧洲标准写的一个OFDM matlab 仿真，其中包括发射器和接收器。文章中有matlab程式的详细介绍，有仿真方框图，还有每步的实验结果分析，特别适合OFDM的初学者。算是OFDM比较简单的一个入门介绍。英文也比较浅显，可读性很强(According to the European DVB-T standard to write a OFDM matlab simulation, which comprises a transmitter and a receiver. Article has a matlab program in detail, there is a block diagram of the simulation, as well as analysis of the experimental results of each step, especially for OFDM for beginners. OFDM considered a relatively simple introduction to. English is also relatively simple, readable)

复杂网络的介数求解，复杂网络，介数，matlab (Betweenness solving of complex networks, complex networks, the number of referrals, matlab)

MATLAB的帮助说明，中文版本，对于英文版本的MATLAB学习很有帮助(MATLAB help explain, the Chinese version, English version of MATLAB for studying very helpful)

vc和matlab混编,通过matcon调用matlab函数,使之能简单的完成复杂算法(vc and mixed matcom)

说明：  计算有义波高的程序 船舶水动力学方面 是比较专业的程序(Significant wave height calculation procedure for ship hydrodynamic aspects of the program more professional)

利用matlab软件计算一种平面波导TE0，TM0模式和光纤基模的传播常数。(Using matlab software to calculate the propagation constant of a planar waveguide TE0, the TM0 is scaled mode and fiber-based mode.)

SVM is one of the classification method that is very applicable in management.

雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)