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MATLAB CODE FOR SIMULATION OF A SUCCESSIVE APPROXIMATION CONVERTER(MATLAB CODE FOR SIMULATION OF ASUCCESSIVE APPROXIMATION CONVERTER)

一个可以把Matlab复杂网络邻接矩阵直接转化为Pajek可以识别的网络文件（.net）很实用，学习复杂网络的可以下载(a programme that can transform the adj_matrix in matlab into .net file that pajek can recognize)

小波变换用计算机的快速实现，采用MATLAB计算工具(Wavelet transform fast to achieve using the computer，Using MATLAB calculation tool)

神经网络对时间序列的观测时序进行预测，预测精度高，可以在工程上应用(Neural network to predict the timing of time-series observations, the prediction accuracy is high, can be applied in engineering)

死区对于谐波电流的影响的仿真模型，很全面( The dead zone for the harmonic currents in the simulation model, very comprehensive)

induction machine abc_model

用mathlab实现Gauss算法，gauuss算法是科学计算中一个非常著名的常用算法 (Gauss algorithm, using mathlab gauuss algorithm is a very well-known scientific computing commonly used algorithm)

说明：  牛顿插值法，是学习插值的基本内容，这里是一个该插值法的matlab程序文件，可以帮助大家进一步学习(Newton interpolation, interpolation is to learn the basic content, here is a program of the interpolation matlab file, you can help us to further study)

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

基本粒子群优化算法Matlab源程序 Sphere Model(Particle swarm optimization Matlab source Sphere Model)