MTL_FDTD

sevenlayer optical filter comparision the analytical method with reflections

AM调制和解调的整个过程，同时有频域和时域的波形(The whole process AM modulation and demodulation, while the frequency domain and the time domain waveform)

（7,4）循环码的编译码器设计，模拟了信道噪声，并且进行了2种译码方法((7,4) of the codec of the cyclic code design, simulates the channel noise, and the two kinds of decoding methods)

msteg watermarking matlab code implementation

Vehicle_Cruise control_Matlab, Vehicle_Cruise control_Matlab, Vehicle_Cruise control_Matlab, Vehicle_Cruise control_Matlab, Vehicle_Cruise control_Matlab.

基于数字滤波平方率的符号定时恢复算法。输入参数：RtfSig过采样的待恢复信号，信号中的N符号总数，dS升采样率，N_T升余弦滚降滤波器系数(A timing recovery algorithm based on the sign of the digital filtering of the square. Input parameters: RtfSig be over-sampled signal recovery, the total number of N-symbol signal, the sampling rate dS l, N_T raised cosine filter coefficients)

遗传算法车辆延误优化，这个是别人的程序，大家看看吧~(genetic algorithm optimization of vehicle delay, this is somebody else's process, we look at it ~)

8pask在matlab环境下的仿真，加压程序只要运行就可以了！(dksfhsuhfesiufeieiyiwegdkjsgshg)

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )

均匀线阵列数字波束形成matlab程序，与大家一起分享(Uniform linear array digital beamforming matlab program to share with you)