genetic-algorithm

a pa10 robot with 6 dof that have his own way

基于凸优化方法的失配滤波器设计（MAC编码信号的脉冲压缩处理）(Mismatch filter design based on a convex optimization method (MAC encoded signal of the pulse compression processing))

说明：  用MATLAB实现灰色预测GM(1，1)模型程序段(Gray forecasting GM (1,1) model block using MATLAB)

matlab detal ied introduction explantation lecture 3

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)

西蒙赫金的《自适应滤波原理》一书的matlab程序，现在继续上传第5章的程序， 大家学习交流，觉得有用的自己下载，(西蒙赫gold Adaptive Filtering Theory matlab program book, and now continue to upload the procedures in Chapter 5, we study the exchange of their own find useful downloads,)

LMS自适应滤波器的算法仿真 自适应滤波器输出 , 预期输出 , 误差(LMS adaptive filter)

Persian tutorial for cmg sowftware

基于L阵的二维信号稀疏分解的DOA估计 应用稀疏分解方法进行二维DOA估计(Estimation sparse decomposition method based on two-dimensional signal-dimensional DOA estimation of sparse matrix decomposition L DOA)

henon吸引子方法用于混沌 时间序列的分析，懂得可以拿来参考一下下(Henon attractor method is used to chaotic time series analysis, can be used to reference this week )