newton

solves a modified nonlinear Schr¨odinger Equation using the symmetric split-step method.

Matlab code for generating the initial position and velocity of atoms in perfect CNTs

精通MATLAB综合辅导与指南例程,详细的教学,详尽的例子,学习的好工具(Proficient in MATLAB routine comprehensive counseling and guidance and detailed instruction, detailed examples, a good tool for learning)

利用abaqus分析不同铺层的复合材料层合板的圆孔应力集中问题。(Using ABAQUS to analyze the stress concentration problem of circular hole in composite laminates with different ply.)

本程序是利用单端电气量依据行波原理实现故障测距的程序，需要较高的采样率以提高精度。(This procedure uses traveling wave principle of the single-terminal electrical information in accordance with the procedure of fault location, it requires a higher sampling rate in order to improve accuracy.)

一个KKV标准弹道仿真程序，仿真了KKV在中段拦截TBM的弹道。供大家参考。下面还会上传其他方法仿真的程序。(KKV standard ballistic simulation program, the simulation of KKV in the middle of the TBM interception trajectory.For your reference.The following simulation program also upload other methods.)

MIMO雷达成像，资料比较全的，是一个压缩包(MIMO radarimaging)

探究粒子群算法对电机的估计，具有重要意义。(It is important to explore the estimation of the motor by particle swarm.)

网上找的关于LDPC码的几篇硕士论文。包括几种改进的算法。(Online on the LDPC code to find a few master' s thesis. Several improvements, including algorithms.)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)