LMMSE-m-file2

射线追踪,包含了起点和终点的射线函数，对于地震传播研究具有重要意义！(Raytracing in a v(z) world. The toolbox contains functions forshooting fans of rays and functions for tracing rays with specific start and end points. General multi-bounce rays with any number of mode conversions can be traced. Automatic routines for P-P and P-S primaries in shot-gather geometry are provided for convenience. Any recording geometry can be used but most functions vectorize (e.g. are most efficient) for shot-gather geometry. Only traveltimes and rayparameters are detemined, not amplitudes. In these routines, the velocity models should be considered as "background" models. This means that the depths at which flections and mode conversions occur are dependent of the depths given as layer boundaries in the velocity models. Velocity models are specified by a vector of velocities and a same-size vector of depths. The j th velocity is in effect from the j th to the j+1 th depth. The bottom of the model is assumed at infinite depth. Thus v=5000 and z=0 specifies a cons)

ios平台基于蓝牙4.0 HeartRate(latform is based on the Bluetooth 4.0 HeartRate)

一种基于DCT域的不可见数字水印算法，文章源于IEEExplore(PERCEPTUAL DIGITAL WATERMARK OF IMAGES USING WAVELET TRANSFORM.pdf,down loaden from IEEE xplore)

matlab 神经网络工具箱 gaot 所有的文件 直接放到matlab 路径 toolsbox 下就行(matlab neural network toolbox gaot all the files on the line directly into the the matlab path toolsbox under)

三维光子晶体的fdtd法，MATLAB源程序 含不同时间步长的过程显示(Three-dimensional photonic crystals fdtd method, MATLAB source code)

four quadrant induction motor

Empirical Mode Decomposition

this mfile is a code for simulation rice fading channels versus snr.

感应电动机参数辨识算法仿真程序，所有程序都是用M函数编写(simulation program of Induction motor parameter identification algorithm, all programs are written with M function.)

iris with matlab.irisData is 150x5. row: Sepal.Length Sepal.Width Petal.Length Petal.Width Group(1,2,or 3) the first 50x5 is Isis-setosa(1), the second 50x5 is Isis-versicolor(2), the last 50x5 is Isis-virginica(3). !!! Caution !!! X(50 + 21, :) equals X(50 + 50 + 27, :), but Y(50 + 50 + 21) DOESNOT equal Y(50 + 50 + 27)! So the algorithm will NEVER be 100 correct.