step

针对较大阶跃响应产生超调问题的步进式PID控制程序(Have a step response for a larger overshoot of the step-by-step questions PID control procedures)

通过恢复低秩矩阵得到显著性图，其中详细的运用了mean-shift算法，可以很好的了解mean-shift算法的使用，同时还包含了RPCA算法。(Significantly through the recovery of low rank matrix diagram, which detailed the use of mean-shift algorithm, can be a very good understanding of the use of the mean-shift algorithm, also contains RPCA algorithm.)

Feature Extraction from EEg

是信号处理的基础，基于分段非线性权重值的Pso算法，通过反复训练模板能有较高的识别率，matlab编写的元胞自动机，用于图像处理的独立分量分析，利用贝叶斯原理估计混合logit模型的参数，可以实现模式识别领域的数据的分类及回归，信号处理中的旋转不变子空间法。( Is the basis of the signal processing, Based on piecewise nonlinear weight value Pso algorithm, Through repeated training KCajOMWlate have higher recognition rate, matlab prepared cellular automata, Independent component analysis for image processing, Bayesian parameter estimation principle mixed logit model, You can achieve data classification and regression pattern recognition, Signal Processing ESPRIT method.)

用Matlab编写的指纹特征提取程序，能运行对初学者帮助很大！(Prepared using Matlab fingerprint feature extraction procedures, will be able to run very helpful for beginners!)

单摆模型及其扩展。给出单摆的运动参量随时间变化的情况。又扩展到双摆.(Pendulum model and its extensions.Given the situation of the pendulum movement parameters change over time. Extended to the double pendulum)

a fuzzy implement with matlab

游程编码 可运行自己亲测 有函数图像以及编码前和编码后的图像对比(RLE can run their own pro-test as well as a function of the image before encoding and the encoded image contrast)

real time demonstratitaon on wirelerss sensor network

针对OFDM系统，分成链路级仿真和系统级仿真两个部分。为了降低系统级仿真的复杂度，采用链路级仿真的部分结果。(It contains mainly two parts, i.e. link-level simulator and system-level simulator. Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx. Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table, that can be used for the system-level simulation. System-level simulator focus on a multi-cell multi-user scenario. For the sake of simplicity, it takes the mapping table aquired in the link-level simulation, measure the actural SNR, and finds the corresponding error rate. Link-level simulator support SISO, 1 by x MRC, 2 by 1 STBC/SFBC, 2 by 2 Alamouti, x by 1 Antenna selection, x by y antenna selection. System-level simulator, currently support only SISO and 1 by 2 MRC. To start with, go into the folder sys_link_simu, and excute the following commond from matlab: sys_link_simu_func(a,b) where a is the link ada)