NLM

自己编的matlab小程序，适合初学者一起探讨(own small addendum to the Matlab procedures for beginners to explore)

algorithm of Back Propagation NN

在瑞利衰落信道下的OFDM系统仿真程序，得出信噪比与误码率的相关结果。(OFDM system simulation program in the Rayleigh fading channel, the results of the signal to noise ratio and bit error rate are obtained.)

使用高阶累积量完成单载波和OFDM信号的的识别，对不同信噪比情况下进行了仿真，有不错的效果(Using higher order cumulants to complete the identification of single carrier signal and OFDM signal, the simulation of different signal-to-noise ratio, has a good effect)

RBF code using matlab

说明：  这是数学建模中应用最经典的灰色预测模型算法，在统计预测中常常应用，这是近代的智能算法之一(This is the application of mathematical modeling and forecast of the most classical algorithm, usually applied in the statistical prediction, which is one of the modern intelligent algorithm)

多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。(Multivariable input, output, and more interference, complex nonlinear and strong coupling system control is a more difficult problem, commonly used multivariable controller may be because the problem is difficult to control the coupling system. PID neural network is a multi-front to neural networks, its number of neurons in each layer, connection, connection weights are in accordance with the existing principles and experience to determine the PID control law is a dynamic compliance before the control system to the network. However, due to the random initial weights of the network PID values ​ ​ of reason, every time there are differences in the effect of control and in some cases the control effect is still relatively poor. This case study of multivariable coupling system based on PID control neurons, and with PSO algorithm to optimize the controller to achieve better control effect.)

基于matlab编程的QPSK的仿真 蒙特卡洛分析(Matlab programming based on Monte Carlo simulation analysis of QPSK)

matlab在语音信号分析和合成中的应用，附带程序，可直接在matlab中运行。(The application of MATLAB in speech signal analysis and synthesis, with program, can run directly in MATLAB.)

生成一个正弦信号，并加入白噪声，得到正弦信号以及白噪声的混合信号，通过低通滤波器对白噪声进行处理(generate a sinusoidal signal, and add white noise, sinusoidal signal to be white noise and mixed-signal, through low-pass filter white noise processing)