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倒立摆模型的局部线性化 设倒立摆的摆角范围为[-15,15]度，摆角角速度范围为[-200,200]度/秒，摆角角加速度范围为[-200,200]度/秒2，采用三角形隶属函数对摆角和摆角角速度进行模糊化，摆角初始状态为[0.2,0]。 (Inverted pendulum model of the local linear-based inverted pendulum swinging angle of the range of [-15,15] degrees angle angular range of [-200,200] degrees/sec, angular acceleration angle range of [-200,200] degrees/sec 2, the use of triangular membership function of the pendulum angle and angular velocity fuzzy angles, and angles for the initial state [0.2,0].)

实现非负矩阵分解的程序，适合提取非负信号的特征值(A program for non negative matrix factorization, Suitable for extracting the eigenvalues of non negative signals)

说明：   matlab利用For循环求解阶乘之和，matlab利用For循环求解阶乘之和(For cycling solving factorial)

说明：  这是关于非线性单摆的混沌解法后期出现的庞加莱图的matlab程序 (This is a nonlinear pendulum on the latter part of the chaotic solution of the Poincare map matlab program)

说明：  RLS和Capon波束形成程序， Capon给定SNR和INR (RLS AND CAPON BEAMFORMING )

FSK信号仿真及分析 结合铁路轨道电路分析(FSK signal simulition)

M-file for simulating a QPSK transmitter by modulating with a pseudo random bit stream. A serial to parallel conversion of the pseudo random bit stream is performed with mapping of two bits per symbol. A cosine and sine carrier is configured and the I and Q symbols modulate these carriers. The I and Q carriers are combined and time and frequency domain plots are provided showing key waveforms at various positions in the QPSK transmitter. (M-file for simulating a QPSK transmitter b y modulating with a pseudo random bit stream. A s erial to parallel conversion of the pseudo rand om bit stream is performed with mapping of two bi ts per symbol. A cosine and sine carrier is CBMs gured and the I and Q symbols Modulate these CARR IERS. The I and Q carriers are combined and a time nd frequency domain plots are provided showing key waveforms at various positions in the QPSK t ransmitter.)

这是数学算法中的回归分析法 联合开发网 - pudn.com

本文主要介绍了如何在MATLAB中创建s函数，s函数的定义、功能以及如何正确的编写s函数，从而简化MATLAB的编程，使MATLAB模块更加清晰。(this passage mainly describe the s function in MATLAB about creating this function and how to use this function)

低秩矩阵与稀疏表示算法，详细的说明了低秩矩阵与稀疏表示的算法原理(The low-rank matrix with sparse algorithm, a detailed description of the low-rank matrix with sparse representation algorithm is)