goplotpso

This toolbox implements the algorithm in a fairly general way in a C file that can be called from Matlab. It allows to perform the traditional NL-means for denoising (for both B&W and color images) but also to use an arbitrary set of patches to perform the denoising. (This toolbox implements the algorithm in a fairly general way in a C file that can be called f rom Matlab. It allows to perform the traditiona l NL-means for denoising (for both B)

Several case studies for biomaterials.Included heart valves, wound dressing, dental biomaterials and joint replacement.

说明：  基于局域法多步预报模型的混沌时间序列预报模型，对多个典型混沌序列的仿真测试表明，本算法具有良好的多步预测精度和较好的抗噪声能力(based multi-step prediction model of chaotic time series prediction model, a number of typical chaotic sequence of simulation tests show that the algorithm has a good multi-step forecast accuracy and better noise immunity)

principal and independent components analysis

格基约减下的zf(迫零检测)算法，适用于多输入多输出系统(lattice reduction aided ZF algorithms)

说明：  高斯过程回归，代码可以再matlab2016上顺利运行，希望对学习高斯过程的你有所帮助(Gaussian process regression, the code can be run smoothly on matlab2016, I hope to help you to learn the gaussian process)

NWFE:Nonparametric Weighted Feature Extraction for Classification，线性分类方法，类似于改进了了的LDA，使用中，结果有时候比SVM等好(classification, NWFE:Nonparametric Weighted Feature Extraction for Classification)

利用MP,OMP,COSAMP算法处理一维信号比较(comparative of compressive sensing using mp，omp，cosamp )

Implementation of an AVL tree using C. A data structure type.

Channel Estimation of MIMO OFDM with MMSE Estimator.