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介绍Matlab PID 的一本不错的书(Matlab PID introduction of a good book)

读取CTF脑磁图数据的Matlab代码，要求读取数据为.ds后缀文件(CTF MEG data read Matlab code to read data request. Ds file suffix)

一本用于matlab系统仿真的电子书籍，对初学者有很大的帮助。(A used in matlab simulation of electronic books, has a great help for beginners. )

Laplace equation solution code using matlab

直流电机调速系统仿真，建立模型，系统仿真，画出仿真曲线(DC motor speed control system simulation, modeling, system simulation, simulation curve drawn)

说明：  用MATLAB编写的模拟退后程序，为通用模板，下载后修改即可使用。(Using MATLAB simulation back to prepare procedures for the generic template, modified to use after downloading.)

ASK function, this is a block that has three input and one output. the input are the two carrier that have different amplitute, and the digital signal representing the information or data to be modulated.

说明：  多项式拟合用于处理实验数据的一种有效方法，简单实用。并且举了一个例子三次拟合(Polynomial fitting of experimental data for processing is an effective method of simple and practical. And cited an example of three fitting)

说明：  burg算法对现代谱进行估计伯格算法（burg algorithm)一种直接由已知的时间信号序列计算功率谱估计值的递推算法。由于是J．P·伯格提出的，故得名伯格算法。(Burg algorithm is a recursive algorithm which can calculate the power spectrum estimation directly from the known time signal sequence. Because it is proposed by J.P. Berg, it is named Berger algorithm.)

ra_snr_gui.m 作用：统计不同信噪比下，五种信号的峰值旁瓣比RA和低高频均值比RM，绘制结果，参考图3.11和3.12 DFCW_RA_SNR.m 作用：产生正交离散频率编码信号，并计算峰值旁瓣比RA和低高频均值比RM LFM_RA_SNR.m 作用：产生线性调频信号，并计算峰值旁瓣比RA和低高频均值比RM OFDMLFM_RA_SNR.m 作用：产生正交频分线性调频信号，并计算峰值旁瓣比RA和低高频均值比RM PC_RA_SNR.m 作用：产生正交相位编码信号，并计算峰值旁瓣比RA和低高频均值比RM SIN_RA_SNR.m 作用：产生单载频信号，并计算峰值旁瓣比RA和低高频均值比RM 输入参数： vSNR：信噪比向量 输出结果： RA:峰值旁瓣比向量RA，对应信噪比向量 RM:低高频均值比向量RM，对应信噪比向量 calculateRA.m: 作用：计算不同信噪比下峰值旁瓣比RA和低高频均值比RM，参考论文3.4.5节 输入参数: sig：输入信号，可以是多行MIMO信号，运算中将合并为1行信号 vSNR：信噪比向量 输出结果： RA:峰值旁瓣比向量RA，对应信噪比向量 RM:低高频均值比向量RM，对应信噪比向量 sig_dfcw.m 作用：产生正交离散频率编码信号 sig_ofdm.m 作用：产生正交频分线性调频信号 sig_pc.m 作用：产生正交相位编码信号 (ra_snr_gui.m action: Statistics different SNR peak sidelobes than five signal RA and low high frequency average ratio RM, rendering the results, referring to Figure 3.11 and 3.12 DFCW_RA_SNR.m effect: generating orthogonal discrete frequency encoded signal, and calculate the peak sidelobe ratio RA and low and high frequency average ratio RM LFM_RA_SNR.m effect: generating chirp signal and calculates the peak sidelobe ratio RA and low high frequency average ratio RM OFDMLFM_RA_SNR.m effect: generating an orthogonal frequency division chirp signal and calculates peak sidelobe ratio RA and low and high frequency average ratio RM PC_RA_SNR.m effect: generating quadrature phase encoded signals and calculate peak sidelobe ratio RA and the average low and high frequency effects than RM SIN_RA_SNR.m: to produce a single carrier frequency signal, and calculate peak sidelobe ratio RA and RM lower than the average high-frequency input parameters: vSNR: SNR vector output: RA: peak sidelobe ratio v)