examples

是电力电子电力系统的仿真书籍的matlab和simulink的仿真实例 (the simulink of simpower)

利用ＳＯＲ迭代法求解线性代数方程组，此迭代法是数值计算方法中的基本方法之一。(The use of the SOR iterative method for solving linear algebraic equations, this iterative method is one of the basic method of numerical methods.)

这是在研究神经网络的过程中，自己编写的用于模式识别的MATLAB源代码，相信对于神经网络的学习者有帮助，其中也给了测试数据！ (This is the study of neural networks in the process of their preparation for the MATLAB source code for pattern recognition, neural networks and I believe that learners be helpful, which also gave the test data!)

WAVELET demonstration

说明：  乘积的最后三位的值只与乘数和被乘数的后三位有关，与乘数和被乘数的高位无关，利用此来求尾数(The last three values of the product only with the multiplier and the multiplicand on the back three, with a high multiplier and the multiplicand has nothing to do, take advantage of this to seek mantissa)

本原码说明了在matlab中如何用libsvm(primitive code in Matlab shows how to use libsvm)

根据一组样本数据的均值和协方差矩阵随机产生正态分布以及对数正态分布的任意规模的样本数据。(According to a set of sample data mean and covariance matrix randomly generated normal and lognormal distribution of the sample data of any size.)

理解信噪比、比特能量与噪声能量比的计算方法、及相互关系(Understanding and Relating Eb/No, SNR, and other Power Efficiency Metrics)

多重分形谱算法，多重分形MATLAB代码，多重分形谱代码(Multifractal spectrum algorithm)

增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)