LMSADF2

说明：  按照书本上教材编写的自适应中值滤波函数，很有参考价值(Materials prepared in accordance with the books adaptive median filtering function, a good reference)

实现在加性高斯白噪声下直扩系统的调制与解调(DS-SS modulation)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

多分类相关向量机程序，有运行demo，运行速度快，无bug(More relevance vector machine classification procedures, run demo)

说明：  《信号与系统》计算机练习－利用matlab 西安交通大学出版社 实验一("Signals and systems" computer exercises-using Matlab Xi'an Jiaotong University Press an experiment)

固定范围内采用GPSR路由协议的最佳路径选择matlab程序(Within a fixed range using the best path routing protocol GPSR choice matlab program)

retinex阴影去除 non linear processing on the image by the commercial camera used Sensors are not Dirac Delta Functions but narrow band Approximate invariant angle is obtained by the entropy minimization mehtod. Exact angle can only be found by camera calibration method(retinex shadow removing，non linear processing on the image by the commercial camera used Sensors are not Dirac Delta Functions but narrow band Approximate invariant angle is obtained by the entropy minimization mehtod. Exact angle can only be found by camera calibration method)

PV system working very good

系统辨识 利用matlab进行仿真 对系统辨识(System identification using matlab simulation of system identification)

一个二维静电场，电位函数为φ（x, y），将正方形分成25个正方形网格。有16个内部网格点。假定16个网格点的初值都定为零，试用超松弛法确定16个内部网格点的电位值。(A two dimensional electrostatic field, the potential function for phi (x, y), the square into 25 square grid. There are 16 internal grid point. Assume that 16 mesh point of initial value at zero, trial overrelaxation method to determine the potential value of 16 internal grid point.)