fade_diversity

信息理论与编码——关于二进制熵的matlab仿真程序(Information Theory and Coding- on the binary entropy matlab simulation program)

将滤波的信号叠加再求平均并计算滤波前后的标准差(Averaging the signal superposition and calculate the standard deviation)

用matlab编制卫星运动的动画程序，非常有趣！(A cartoon programme of star moving using matlab code)

说明：  多元统计分析过程下的主元个数的计算，运用于pca以及pls的数据分析算法中(the calculation of principal components)

这是一个光伏模拟器的m-function的仿真程序，模拟光伏电池的电压电流输出特性(This is a m-function of pvsimulation base on matlab. And it simulates the solar cell s Voltage-Current characteristic)

matlab蚁群算法求解TSP问题，可直接运行，人工智能作业。(matlab, ACO for TSP.)

image enhancement technique for removing noise from images using different filter methods. very useful for spatial domain image enhancement technique...

Performance Investigation of Isolated Wind_Diesel

多变量系统的辨识与控制，三阶的CARMA多变量系统，将工作重点放在系统结构及参数的辨识( 多变量系统的辨识与控制，三阶的CARMA多变量系统，将工作重点放在系统结构及参数的辨识 Multivariable system identification and control, three order CARMA multivariable system, the focus of the system structure and parameter identification)

This text deals exclusively with signal processing of digital data, although Chapter 1 briefly describes analog processes commonly found in medical devices. This text should be of interest to a broad spectrum of engineers, but it is written specifically for biomedical engineers (also known as bioengineers). Although the applications are different, the signal processing methodology used by biomedical engineers is identical to that used by other engineers such electrical and communications engineers. The major difference for biomedical engineers is in the level of understanding required for appropriate use of this technology. An electrical engineer may be required to expand or modify signal processing tools, while for biomedical engineers, signal processing techniques are tools to be used.