CDMA-Forward-Link-Simulation

MATLAB写自相关函数，M序列的MATLAB产生(MATLAB to write auto-correlation function, M sequences generated MATLAB)

通信工程中m序列编码，自相关，互相关计算,组合码的产生,GOLD码的产生(Communication Engineering in m-sequences encoding autocorrelation, cross-correlation calculations, produce a combined code, GOLD code generation)

死区对于谐波电流的影响的仿真模型，很全面( The dead zone for the harmonic currents in the simulation model, very comprehensive)

外文资料里面的源代码，用平面波展开法计算二维声子晶体带隙,有小波分析的盲信号处理。( Foreign materials inside the source code, Computation Method D phononic bandgap plane wave, There Wavelet Analysis Blind Signal Processing.)

本程序主要功能是idl调用matlab程序，大大增加了idl的图像/形处理功能，应用更广泛(This procedure is the main function of matlab to call idl procedures, has greatly increased the idl image/shape processing, the application of more extensive)

This is a source code of Matlab programming, for show us the procedure of Singele server queuing, it is known as M/M/1 queu Single server

关于分数阶傅里叶变换的例子关于分数阶傅里叶变换的例子关于分数阶傅里叶变换的例子关于分数阶傅里叶变换的例子(the example of frathinog fft)

A motion picture presents a continues phenomena as a sequence of frames. We perceive continuity by "filling in the gaps" and "smoothing out " the missing information. While faster motion requires more frames during a given time period, there is a point where more frames per second yield no further improvement. The "sampling speed" must be fast enough to allow "appropriate averaging of dead times between frames", but need not accommodate motion too fast to be seen by a human. The above description is somewhat analogous to sampling of audio signals. The sampling rate depends on how fast the signals vary (the highest frequency we hear). Nyquist showed that sampling frequency exceeding twice the audio bandwidth is sufficient to include all the signal information, preserving the finest details up to half the sampling rate

说明：  matlab实用程序百例 图像分析 图像的区域处理 图像的颜色处置 等实例(Utility hundred cases of image analysis matlab image processing the image color region instance disposal)

有关非线性滤波程序的说明文档，包括KF,EKF,UKF,GHF等各种方法(The documentation demonstrates the use of software as well as state-space estimation with Kalman filters in general. The purpose is not to give a complete guide to the subject, but to discuss the implementation and properties of Kalman filters. )