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说明：  最基本得newton法的matlab源程序(newton methods)

matlab code lms algorithm

基于Hammerstein模型对传感器进行建模，可以将其分解为非线性和线性环节，设计完非线性补偿器之后，带入到实验数据，验证补偿效果(Hammerstein model based on sensor modeling, can be decomposed into non-linear and linear aspects of the design after the End of the nonlinear compensator, into the experimental data to verify the compensation effect)

说明：  一个简单的matlab非线性拟合例子,使用了matlab提供的nlinfit函数.(A simple non-linear fitting matlab example, matlab using the function provided by nlinfit.)

两种模糊核聚类算法,包括源程序和算例，非常有用(Two Fuzzy C-Means algorithm)

课程设计中首先采用Ising model的思想建立一个二维的模型，然后利用重要性抽样和Monte Carlo方法及其思想模拟铁磁-顺磁相变过程。计算了顺磁物质的能量平均值Ev、热容Cv、磁化强度M及磁化率X的值，进而研究Ev、Cv、M、X与温度T的变化关系并绘制成Ev-T图、Cv-T图、M-T图、X-T图，得出顺磁物质的内能随着温度的升高先增大而后趋于稳定值；热容Cv、磁化率X随着温度的升高先增大后减小；磁化强度M在转变温度Tc处迅速减小为零，找出铁磁相变的转变温度Tc大约为2.35(First of all, curriculum design idea of the Ising model used to establish a two-dimensional model, the importance of sampling and then use Monte Carlo simulation methods and their idea of ferromagnetic- paramagnetic phase transition process. Paramagnetic material calculated average energy Ev, heat capacity Cv, magnetization M and susceptibility X value, and then study Ev, Cv, M, X and temperature changes in the relationship between T and plotted into Ev-T map, Cv- T diagram, MT map, XT maps drawn paramagnetic material can be increased as the temperature increased and then stabilized value heat capacity Cv, magnetic susceptibility X as the temperature increases after the first minus small magnetization M in the transition temperature Tc decreases rapidly to zero Department to identify ferromagnetic phase transition around the transition temperature Tc for 2.35)

This code is to find data distribution of wind speed. The Weibull distribution parameters are determined

PFC 的原理与分析设计 我们作比赛的资料(Principle and Analysis of PFC design we make the game data)

Matlab学习资料，包括MATLAB基础教程、matlab实用教程、精通Matlab6[1].5(张志涌)等(Matlab learning materials, including MATLAB Basics Tutorial, matlab practical course, master Matlab6 [1] .5 (Zhang Yong), etc.)

用impz()函数求冲激响应：用filter()函数求冲激响应 用filter()函数求余弦输入响应：用conv()函数求余弦响应：(With impz () Function Impulse Response: The filter () function used for impulse response filter () Function Cosine input response: The conv () Function Cosine response:)