viterbi

Classical 180 command for inverter fed induction motor

说明：  总体最小二乘法的ESPRIT方法，这种算法的估计精度明显好于原来的ESPRIT算法。可以很好的估计出信号的角度。仿真中用的是均匀阵列。(Total least squares method of the ESPRIT method, the algorithm of the estimation accuracy significantly better than the original ESPRIT algorithm. Can be a very good signal to estimate the angle. Simulation using the uniform array.)

历史交通流预测，采用matlab编程，预测效果很好(Historical traffic flow forecasting, using matlab programming, forecasting good results)

1D Ising ising1(n,m,b,p) n - length of domain, a positive integer m - number of iterations, a positive integer b - coupling parameter / temperature, a positive scalar b = 0 -> Very high temp / low coupling b > 1 -> Very low temp / high coupling( 1D Ising ising1 (n, m, b, p) n- length of domain, a positive integer m- number of iterations, a positive integer b- coupling parameter/temperature, a positive scalar b = 0-> Very high temp/low coupling b> 1-> Very low temp/high coupling)

adaboost training for weak classifier.Simple example for classifier and training is done

说明：  K最近邻(K-Nearest Neighbor，KNN)分类算法，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。(K nearest neighbor (K-Nearest Neighbor, KNN) classification algorithm, is a more mature approach in theory is the simplest machine learning algorithms.)

isodata image clustering matlab code

说明：  对认知无线电算法的详细论述，有利于初学认知无线电的人(Cognitive radio algorithms to detail and is conducive to learning cognitive radio people)

极限学习机（Extreme Learning Machine，ELM），该算法随机产生输入层与隐含层间的连接权值及隐含层神经元的阈值，且在训练过程中无需调整，只需要设置隐含层神经元的个数，便可以获得唯一的最优解。与传统的训练方法相比，该方法具有学习速度快、泛化性能好等优点(Extreme Learning Machine regression and classification, introduce a new algorithm for SLFN- Extreme Learning Machine (Extreme Learning Machine, ELM), the algorithm randomly generated input layer and hidden layer connection weights between the hidden layer and dollar threshold, and no adjustment in the training process, only need to set the number of hidden layer neurons, they can obtain a unique optimal solution.)

逆变器电路初学者可以看看，都是自己编写，可以使用(Inverter circuit beginners can see, all I have written, you can use)