work

说明：  经典神经生物电模型 matlab simlink 开发(This is a simulation of Hodgkin-Huxley equations using simulink blocks. )

可模拟单泵浦多信道拉曼放大器正向传输曲线，采用2阶龙格库塔法。(Can simulate single the multichannel Raman amplifier pumped Forward transmission curve, the 2-order Runge-Kutta method.)

运用matlab语言编写，可用于一维信号分离，可将高频和低频信号分离出来(Using matlab language, can be used for one-dimensional signal separation, high and low frequency signals can be separated)

一杯沸水冷却，圆柱体模型，底面半径0.05m，高0.1m，周围温度20度，初始水温100度 方程是四维输运方程（常数a^2=k/(c*p)，k是热传导系数0.6006焦/（米*秒*度）） 初始条件：t=0时水等于100度 边界条件：1.上下壁都是自由冷却，第三类边界条件，周围温度保持在20度（H=k/h,h取1） 2.杯壁绝热，第二类边界条件 图形显示格式,取过圆柱轴的截面温度变化将其做成动画. (A cup of boiling water for cooling, the cylinder model, the bottom radius of 0.05m, the high-0.1m, an ambient temperature of 20 degrees, the initial water temperature of 100 degrees is four-dimensional transport equation equation (constant a ^ 2 = k/(c* p), k is the thermal conductivity coefficient of 0.6006 J/(m* s* degrees)) initial conditions: t = 0 when the water equivalent to 100 degrees boundary conditions: 1. up and down the wall are free cooling, the third boundary condition, the ambient temperature maintained at 20 degrees (H = k/h, h check one) 2.杯壁insulation, the second boundary condition graphical display format, check-off section of cylindrical shaft temperature change to make animation.)

cognitive radio simulation of noise models

无约束优化的matlab程序。很全面，适用于数学建模等竞赛活动。(Unconstrained optimization matlab program. Very comprehensive, suitable for mathematical modeling contest.)

说明：  DSP入门：在MATLAB中应用傅里叶变换分析信号频谱(DSP basis: Implement fourier transform to analysis signals spectrum with MATLAB)

对于初学者具有参考意义，具有丰富的参数选项,IDW距离反比加权方法。( For beginners with a reference value, It has a wealth of parameter options, IDW inverse distance weighting method.)

基带调制以及解调所用代码，适用于各种QAM调制以及解调(Base-band modulation and demodulation used in code, applicable to a variety of QAM modulation and demodulation)

In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo. (In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar-xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo. )