Matlab2010

用BP网络逼近某曲线函数，在神经网络中邮广泛的应用 是系统辨识的基础。 通过反馈来不断的调整系数，限制了最大循环次数 防止进入死循环，当然如果想要得到更精确的系数可以增大循环次数。 (Using BP network function approximation to a curve, mail is widely used in neural network is the basis of system identification. Through feedback to constantly adjusted factor, limit the maximum cycle times to prevent into dead circulation, and of course if you want to get a more accurate coefficients can increase the cycles.)

说明：  matlab例子自适应滤波最陡下降法特征值扩散度仿真，变步长仿真(Matlab example of adaptive filtering steepest descent method for eigenvalue proliferation simulation, variable step simulation)

Quantitative Image Recovery From Measured Blind Backscattered Data Using a Globally Convergent Inverse Method

仿真了MIMO中的2*2，以及注水定理,里面有详尽的解释(Implement a 2x2 scheme using dominant eigenmode transmission.)

基于补偿的模糊神经网络，此程序序开发于matlab-matlab (Compensation-based fuzzy neural network, this program logic developed in Matlab-Matlab)

modal synthesis method for the 1D wave equation fixed boundary conditions

18513MC混合编程源代码，内含有18513MC混合编程源代码所有的.m文件(18513MC hybrid programming source code, containing 18513MC all mixed programming source code. M file)

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这个MATLAB例程是在OFDM信道下的BPSK仿真(This MATLAB routine is the BPSK OFDM channel simulation)

本文介绍了一个新的降低ofdm中的PAPR的方法(This article describes a new reduction of the PAPR in ofdm method)