Gaussian-pulses

SIMULINK实现QAM,来自韩国一本教材。(SIMULINK realize QAM, a teaching materials from South Korea.)

收集的高通滤波函数，里面有个人写的注释，供大家参考，不对的地方希望给与指正。(High-pass filter function collected, there are individual written comments, for your reference, and do not want to give local correction.)

OFDM对频偏比较敏感，提出了基于循环前缀的频偏估计方法(OFDM is relatively sensitive to frequency offset, frequency offset estimation method is proposed based on cyclic prefix.)

求解语音信号的RASTA-PLP和PLP特征(Solving speech signal characteristics of RASTA-PLP and the PLP)

压缩感知的l0算法，时间比较短，精度比较高(L0 compressed sensing algorithm, a relatively short time, high accuracy)

THIS IS THE MATLAB SOURCE CODE

实现MATLAB对茶壶采集的的点云数据网格生成，并细化(MATLAB to achieve the collection of the teapot point cloud data grid generation, and refinement)

matlab源代码的实例100个。其中包含matlab常见的一些算法和应用。分为三个子文件，每个文件都包含很多代码。(100 matlab source code examples. Contains matlab Some common algorithms and applications. Is divided into three sub-files, each file contains a lot of code.)

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.)

在盲辨识系统中，非常关键的是如何获得最好的辨识效果，这里采用了多种方法，通过系统建模，并比较方法(In blind identification system is critical to identify how to get the best effect, this uses a variety of ways, through system modeling, and comparison)