matlab-clustering-toolbox

说明：  光纤光栅的反射谱 包含两段代码 在MATLAB中仿真(the spectrum of fiber)

计算一维光子晶体的透射特性和反射特性，FMCW调频连续波雷达的测距测角，基于matlab GUI界面设计。( Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, FMCW frequency modulated continuous wave radar range and angular measurements, Based on matlab GUI interface design.)

最近邻分类器是一个用来聚类的算法，可以用来对iris数据进行聚类(k-means is a neanest alogorim)

ARAMA建模工具箱，很全，各种参数估计，请大家好好看看，绝对完整版(ARMA function，it is good)

有关友元函数，对于初学者是一个非常不错参考例子(friend )

对一条直线进行白噪声驱动下的静态逐次滤波(Static white noise in successive filtering)

roc 曲线的画法源代码 方便广大初学者应用(PLOTROC Plot receiver operating characteristic)

OSC 源文件。from eigenvector(OSC source. from eigenvector)

MATLAB的GUI制作 帮助初学者了解GUI(matlab GUI)

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. )