信号调制

The m file reads the .raw format images and converts it into a matrix in a MATLAB

用于计算汉字笔画的程序,可对多个汉字同时计算(The procedures used to calculate the Chinese character strokes)

用于matlab的pca,程序规整。便于理解，思路清晰。(for matlab of pca)

matlab source code from mathworks

it is a toolbox for matlab_ the subject is support vector machine(svm)

这篇文章是通过改进的RD算法对大斜视角SAR进行仿真，通过仿真验证这种改进的算法是可行的。对研究雷达的人有帮助！(This article is simulation for large squint SAR by improving the RD algorithm.The result is demonstrated the improved algorithm is feasible。 It is useful for the poople that study the radar。)

MATLAB扩展编程。详细介绍了在MATLAB平台中的算法与源码(MATLAB extension programming. Details of the algorithm in MATLAB platform with source)

使用统计方法进行系统不确定性的分析，包含m函数和Simulink模型(Using Statistics for Uncertainty Analysis in System Models)

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)

使用matlab编写的信道估计与误码率测试程序，可以作为OFDM学习的参考,(Prepared using matlab channel estimation and bit error rate testing procedures, can be used as a reference OFDM learning,)