MATLAB-language-program-set

IIR一阶低通滤波器 一阶高通滤波器 Notch 嵌波滤波器 Peak 滤波器 IIR低通滤波（Butterworth） IIR高通滤波（Butterworth） IIR带通滤波（Butterworth） IIR带阻滤波（Butterworth） IIR低通滤波（chebyshev 1） IIR低通滤波（chebyshev 1） chebyshev 中用到的函数 cheby.m(First-order IIR low-pass filter the first-order high-pass filter Notch filter inlay Peak wave filter IIR low-pass filter (Butterworth) IIR high-pass filtering (Butterworth) IIR band-pass filter (Butterworth) IIR band-stop filter (Butterworth) IIR low-pass filter (chebyshev 1) IIR low-pass filter (chebyshev 1) chebyshev function used cheby.m)

本程序提供了两种降维的方法分别是tsa和ogtda。(This program provides two dimensionality reduction methods are tsa and ogtda.)

样条插值的Matlab实现,使用第一类和第二类边值条件进行插值，有图形实例(spline interpolation)

Robert Lafore-Object Oriented Programmining

说明：  K-Means聚类算法，内附参考文献，亲测可用，性能良好，效果极为明显，完全适用于各种数据维度的数据集分类，欢迎下载使用。(K-Means clustering algorithm, pro-test available.)

说明：  本课题基于MATLAB平台的数字信号处理仿真演示系统。数字信号即离散信号，本设计带有一个丰富得GUI人机交互界面，一共包括4个部分，分别为：离散时间信号的卷积，基本函数的Z变换（单位阶跃信号，脉冲信号，斜变信号，正余弦信号，指数系列信号），Z变换的基本性质（线性，位移，z域尺度变换，时域卷积），傅里叶变换的基本性质。是一个不错的选题，GUI设计逻辑清晰，章节清晰，层次明了。(This project is based on MATLAB platform of digital signal processing simulation demonstration system. Digital signal is discrete signal. This design has a rich GUI human-computer interface, including four parts: convolution of discrete-time signal, Z-transform of basic function (unit step signal, pulse signal, oblique signal, sine cosine signal, exponential series signal), basic properties of Z-transform (linear, displacement, z-domain scale transformation, time-domain convolution), The basic properties of Fourier transform. GUI design logic is clear, chapter is clear, level is clear.)

采用压缩感知的方法，结合信号的小波树模型，对一维信号进行压缩重构。(Using Compressed sensing methods, combined with wavelet tree model of the signal, achieve the goal of the one-dimensional signal compression and reconstruction.)

some paper talk about how to use hmm train data (some paper talk about how to use hmm train data )

matlab实现的图像标注开源代码，极有参考价值。(matlab implementation of image annotation open source code, and a valuable reference.)

Histogram Equalization for enhancement of medical image