monituihuo

利用matlab计算三维光子晶体带隙的fdtd算法(calculated using Matlab 3D photonic bandgap of the algorithm fdtd)

RLS algorithm for modeling AR filter using matlab

adfig function for wavelet processing in wavelab

蒙特卡洛算法用于解非线性方程，包括三个函数(Monte Carlo algorithm for solving nonlinear equations, including the three functions)

该matlab程序主要进行肌电信号的预处理以及获取时域特征(The matlab program mainly for EMG signal preprocessing and access to time-domain characteristics)

有关何凯明暗原色先验去雾的MATLAB代码，此算法是对之前softmatting技术的改进，提出了一种新的算法（Guided Filtering）。其中还包括He的一篇论文（Guided Image Filtering）(MATLAB code about dark channel prior of He to dehazing, the algorithm is right here to improve the softmatting technology,proposed a new algorithm (Guided Filtering).Including a paper of He (Guided Image Filtering))

对于petri网原理与应用相关论文研究(the implication of petri net)

利用PC上的声卡作A/D采样的MATLAB程序(On the use of PC sound card for A/D sampling of the MATLAB program)

A QPSK modulator and demodulator using initial assumptions

In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).