Yanshichengxu_matlab

说明：  提取地震动转动分量的小程序，包括两个摇摆分量和一个扭转分量(To extract ground motion rotational component of the applet)

信息论与编码中，对香农信源编码定理的仿真，验证了香农编码定理的可行性。(information theory and coding, right Shannon source coding theorem simulation, verification of the Shannon coding theorem.)

关于今年来四川房价的一个时间序列预测，有很好的预测结果(For this year to a time series of Sichuan house price forecasts)

ECG detection code in MATLAB features extraction

说明：  MATLAB 最新的时频分析工具箱1，里面包含大量的MATLAB时频分析函数(The latest MATLAB toolbox 1 time-frequency analysis, which contains a large number of time-frequency analysis of the MATLAB function)

FIR and IIR RLS algorithms are implemeted by using reference information from Simon Haykin s Adaptive Filter Theory, where a transversal filter is used for modeling the adaptive filter

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

这有点较大的项目，允许MATLAB文件和类（包括包）使用1 doxygen的过滤器命名为创建全面的文档MTOC + +。 此外，工具/类名为MatlabDocMaker允许在MATLAB中创建的文档。 到目前为止，只有为Unix。(This is a little larger items, allowing MATLAB files and classes ( including1) using Doxygen filter named create comprehensive document MTOC++. In addition, tools/class named MatlabDocMaker allows created in MATLAB document. So far, only for Unix.)

系统辨识的最小二乘辨识法，能辨识传递函数(Least squares identification system identification method can identify the transfer function)

灰色模型（GM)。如果一个系统具有层次、结构关系的模糊性，动态变化的随机性，指标数据的不完备或不确定性，则称这些特性为灰色性。具有灰色性的系统称为灰色系统。在灰色系统理论中，利用较少的或不确切的表示灰色系统行为特征的原始数据序列作生成变换后建立的，用以描述灰色系统内部事物连续变化过程的模型，称为灰色模型，简称GM模型。(GM 1 to 1)