psk8_fast_ff_nda_symbol_sync_fast_ff_nda_phase_sy

利用Matlab仿真软件，完成如图1所示的一个基本的数字通信系统。信号源产生0、1等概分布的随机信号，映射到16QAM的星座图上，同时一路信号已经被分成了实部和虚部，后边的处理建立在这两路信号的基础上。实部、虚部信号分别经过平方根升余弦滤波器，再加入高斯白噪声，然后通过匹配滤波器（平方根升余弦滤波器）。最后经过采样，判决，得到0、1信号，同原信号进行比较，给出16QAM数字系统的误码。(Using Matlab simulation software, as shown in Figure 1 to complete a basic digital communications systems. Signal source such as arise over the distribution of 0,1 random signal, is mapped to 16QAM constellation diagram, at the same time all the way the signal has been divided into real and imaginary parts, behind the deal with the establishment of these two signals in the basis. Real part, imaginary part of the signal, respectively, after a square root raised cosine filter, then add white Gaussian noise, and then through the matched filter (square root raised cosine filter). Finally, after sampling, the verdict has been 0,1 signal, to compare with the original signal is given 16QAM digital system error.)

1.产生阶数为n的m序列。 2.测试阶数为n的m序列是否满足m序列性质。（与相应的m序列生成程序配合使用。实现检测效果）(1. Generate the order number n, m sequence. 2. Testing the order of n-m-sequence satisfies the nature of m sequences. (With the corresponding m-sequence generation program used in conjunction. To achieve detection results))

说明：  信号源仿真，信号成型，4QMA调制，QPSK，阵列信号接收(source simulation，Signal shaping ，4QAM,QPSK，array signal receive)

计算流体动力学的计算小程序，计算二维圆柱绕流问题，同时绘制流场速度云图。(Calculation procedures computational fluid dynamics to calculate the two-dimensional cylindrical flow around the same time draw the flow velocity cloud.)

混频器建模的Matlab仿真程序！有GUI界面可供进行混频器的参数设置！(Mixer simulation program Matlab modeling! A GUI interface for setting parameters for the mixer!)

matlab的，希望对大家有用,谢谢多交流 (matlab, and I hope useful for everyone, thank you more exchanges)

利用MATLAB实现简单字符识别的一个例子(The use of MATLAB in the example of a simple character recognition)

说明：  Matlab source code for kalman filter

Optimal Sensing Duration with given Sensing Threshold Cognitive Radio Systems..

单神经元PID解耦控制程序,解耦算法例子以活套系统为传递函数。(Single Neural Net PID Decouple Controller based on Hebb Learning )