LogisticWatermark

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)

原始lmd算法，效果很不好，不知道程序哪里写错,不太能运行，自己做修改，但是上面的算法比较明确(The original LMD algorithm, the effect is very bad, I don t know where the program is misspelled,but it really can not run.If you want run it,just change a little.Actally the algorithm is clear.)

the low pass filter, including the test data

该文件通过多个实例详细讨论了BP神经网络的原理和应用，希望对你有帮助。(The document discusses the principles and applications of BP neural network through multiple instances. May help to you!)

说明：  matlab assignment motion planning

说明：  CFAR算法 中CA-CFAR的代码实现，用于毫米波雷达信号检测(Code implementation of CA-CFAR in CFAR)

最小均方误差信道估计LS_MSE_calc.m仿真程序。用于ofdm信道估计。(Simulation of main channel LS_MSE. You wish to be useful.I hope that they will bring convenience to. If there is a need to contact.I wish good!)

自适应最小均方（LMS）算法（基于matlab平台）(adaptive minimum mean square (LMS) algorithm (based on Matlab platform))

This program takes the speech file and number of poles as inputs and gives LPC coefficients and the gain factor as output.Also includes code to find out LSFs.Code for LMS algorithm also included.

Gauss Elimination (normal way, or using vector storage). Data in file TP2 (or TP02), which is the file to be run