sig-processing

说明：  利用simulink编写的信号产生程序，对学习simulink有一定的帮助作用。(signal builder)

自己写的APS检验matlab源代码。在金融统计中应用非常广泛。共大家参考(Write your own APS test matlab source code. In the financial statistics is widely used. A total of reference)

My version of k-means function. Improved so that there are no empty clusters after segmentation.

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. )

gaussian procession 原程序,用于解决分类问题,有兴趣可以看看啊(gaussian procession original procedures used to address classification problems, who are interested can look at ah)

pb的小例子,是PB中的游标的经品,实现查询功能.(pb small examples, PB cursor on the goods and realize the inquiry.)

This is region based segmentation technique. It includes segmentation of similar pictures.

一维线性齐次波动方程，用matlab语言实现，利用边界值和边界条件进行求解(One-dimensional linear homogeneous wave equation, with the matlab language, use of boundary value and boundary conditions to solve)

用于优化PID三个参数的粒子群程序代码，简便实用。(Used to optimize the three parameters of the PID particle swarm code, simple and practical.)

在机械故障中，对包含故障频率的某一段频率进行细化分析，从而得到更准确地故障频率(In mechanical failure, the failure frequency contains a section for detailed frequency analysis to obtain a more accurate fault frequencies)