mobilerobot

说明：  在单径瑞利信道中，请设计一种时分的导引辅助的信道估计方法，用Simulink进行仿真，测量BPSK的误码率性能，画出比特信噪比与误码率的关系曲线( in a single path Rayleigh channel, please design a secondary peak guide channel estimation method, the Simulink simulation, BPSK BER performance measurement, signal to noise ratio and bit error rate to draw the relationship between curve)

说明：  matlab的源程序，是很重要的补充，大家可以下载(matlab source, it is important to add that you can download)

1/3 oct filter code,used for frequency analysis(1/3oct matlab code,used for frequency analysis)

该文件涵盖了目标跟踪领域的众多算法，如EKF，UKF，PF，IMM等，所以掌握了这个你将顺利实现多种功能。(This document covers a target tracking algorithm of many areas, such as EKF, UKF, PF, IMM etc, so master this you will achieve the smooth functions. )

矢量控制系统中的PI调节器，此为速度调节器(PI regulator in the vector control system, this is the speed regulator)

基于matlab的卡方检验，内容很详细。(The chi-square test based on matlab, the content is very detailed.)

matlab函数，指令集。包括语法和描述(matlab function and instruction set. Including syntax and description)

一篇基于Matlab到OFDM研究开发的论文，有需要的朋友可以下载看看(An OFDM-based research and development of Matlab to the papers, a friend in need can be downloaded to see)

圆卷积与线卷积在FIR中的实现，通过程序还开深刻理解两者间的差别和各自优劣。 1.圆卷积用在被截出的某段数据中，此时，长度应该定为和输入数据长度一致（一般输入数据大于hn的数），这时圆卷积结果相当于某段被截断出来的数据以非截断的方式经过滤波而得出的结果；线卷积用在各自独立的，离散的数据中，若截断数据也用线性卷积来计算，那么就相当与这部分数据是与源数据是独立的， 得出的结果时域两端会变长，但频谱基本上一样的。差别可以想象。 2.注意圆卷积最开始的输入数据的次序，构造矩阵时要注意。(Circular convolution with the line convolution in the FIR implementation, the program also opened a deep understanding of the difference between the two and their respective pros and cons. A circular convolution with cut out a certain period of data At this point, the length should be set for the same length as the input data (typically input data greater than hn the number), when the circular convolution is equivalent to a certain the results of the truncated data to the non-truncated filtered line convolution with a separate, discrete data, truncated data with a linear convolution calculation, then the equivalent of this part of the data is independent of the source data, the results of both ends of the time domain becomes long, but the spectrum is basically the same. The difference can imagine. Note that the order of the circular convolution of the input data to construct matrix.)

for fem matlab for solving all 2D and 3D problem