2012

移动机器人的matlab仿真程序，很好用的，值得学习(Mobile robot matlab simulation program, the good, it is worth learning)

非线性薛定谔方程求解光传输过程matlab(Isotropic_Fiber_Simulations.zip)

基于Hessian能量的半监督回归，并将其应用于半监督维数约简。(This is code for the semi-supervised regression using Hessian energy. Kwang In Kim, Florian Steinke and Matthias Hein, "Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction" NIPS 2009)

MATLAB编写利用P-Q分解法的潮流计算程序，程序中利用基于稀疏技术的因子表法进行迭代求解，以降低存储量，提高运算速度。本程序只适用于简单系统，如IEEE5节点系统。对于复杂系统，由于PV节点电压越限等问题尚未考虑，得到的潮流结果可能有误！(MATLAB flow calculation program written using PQ decomposition method, program utilization based on sparse iterative solver technology factor table method to reduce the storage capacity, improve processing speed. This procedure applies only to simple systems, such as IEEE5 node system. For complex systems, PV node voltage due to the more limited issues not yet considered, the trend of the results obtained might be wrong!)

一维时间序列分行维数，利用计盒法计算得到的分形维数，希望对大家有所帮助！(Branch of one-dimensional time series dimension, using box method calculated the fractal dimension, and they hope to be helpful to everyone!)

这是《MIMO-OFDM Wireless Communications with MATLAB》书中的源程序，这本书是关于MIMO-OFDM的新书，非常有用啊.备注：转载于http://download.csdn.net/source/3248044(This is the " MIMO-OFDM Wireless Communications with MATLAB" source book, this book is a new book on MIMO-OFDM is very useful to ah. Note: reproduced in http://download.csdn.net/source/3248044)

matlab关于对图形梯度的一般计算，很简单的一个小算法！(Matlab graphics gradient on the general terms, a very simple algorithm for a small!)

前推回代法编的39节点40条支路的潮流计算程序。对于研究电力系统潮流计算有一定帮助！(Forward and backward substitution method series of 39 nodes 40 branch flow calculation procedures. Power flow calculation for the study of some help!)

有关信号波形、幅值谱、相位谱，互相关函数的算法、波形(the signal waveform amplitude spectrum and phase spectrum, cross-correlation function of the algorithm, waveform)

设计一个信号发生器,并同时画出信号的时域表 示，自相关函数及功率谱(Design of a signal generator and simultaneously draw the time domain representation of the signal, the autocorrelation function and the power spectrum)