医学信号处理

Point Set Registration: Coherent Point Drift 的源代码(Source code of Andriy Myronenko, Xubo Song, "Point Set Registration: Coherent Point Drift," IEEE Transactions on Pattern Analysis and Machine Intelligence, 25 Feb. 2010. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/TPAMI.2010.46>)

带通滤波，matlab调用函数，同时输出频率域与时间域响应(Bandpass filtering, matlab function is called, the output frequency domain and time domain response)

本程序使用可以用来阅读地震勘探数据，数据格式要求是SEGY(This program can be used to read SEGY profile)

高阶频谱分析防真实验,MATLAB实现.说明详细,容易看懂.(Anti-high-end spectrum analyzer real experiment, MATLAB realization. Explain in detail, easy to understand.)

河道浅滩演变预测的MATLAB实现，在改视线中采用了BP网络的演变预测。(Forecast the evolution of the river bank MATLAB to achieve, in the line of sight to the BP network used in the evolution of the forecast.)

光伏电池板地Matlab/Simulink模型，可以模拟光伏电池板的功能(Photovoltaic panels to Matlab/Simulink models can simulate the function of PV panels)

　k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(K-means algorithm accept parameter k Then will the n of prior input data object is divided into k clustering to make won clustering meet: the same clustering the object in the similarity is higher And different clustering the object in the smaller similarity. Clustering similarity is using the cluster of the object in the mean gained a "center object" (the center of gravity) to calculate. )

基于短时傅里叶变换的对鼾声信号进行分析，可以计算一些判断OSAHS的指标。(snoring analysis based on STFT)

Ce programme a pour rô le la gestion d une scolarité, il a plusieurs fonctionnalités : ajout/suppression d un enseignant, ajout/suppression d un étudiant, ajout/suppression d un module, ajout/suppression d une filière.

本程序是用MATLAB实现的小波零树图像压缩算法，请阅读附件中的README得到用法。注意，目前只是适用128×128的图像。(This procedure is used MATLAB realize the wavelet zerotree image compression algorithm, please read the README in the annex to be usage. Note that currently only applies to 128 × 128 images.)