机器学习基础，配套代码

【实例简介】

【实例简介】

【实例简介】SNOPT使用说明

阵列信号处理的理论和应用的pdf以及书中的代码 对于研究阵列信号的同学很有用

论文《As-Projective-As-Possible Image Stitching with Moving DLT》中的拼接算法，对于视差图像拼接具有一定的鲁棒性，但是对特征点数量及其分布均匀性有较高的要求。 The success of commercial image stitching tools often leads to the impression that image stitching is a “solved problem”.The reality, however, is that many tools give unconvincing results when the input photos violate fairly restrictive imaging assumptions;the main two being that the photos correspond to views that differ purely by rotation, or that the imaged scene is effectively planar.Such assumptions underpin the usage of 2D projective transforms or homographies to align photos. In the hands of the casual user,such conditions are often violated, yielding misalignment artifacts or “ghosting” in the results. Accordingly, many existing imagestitching tools depend critically on post-processing routines to conceal ghosting. In this paper, we propose a novel estimationtechnique called Moving Direct Linear Transformation (Moving DLT) that is able to tweak or fine-tune the projective warp toaccommodate the deviations of the input data from the idealized conditions. This produces as-projective-as-possible image alignmentthat significantly reduces ghosting without compromising the geometric realism of perspective image stitching. Our technique thuslessens the dependency on potentially expensive postprocessing algorithms. In addition, we describe how multipleas-projective-as-possible warps can be simultaneously refined via bundle adjustment to accurately align multiple images for largepanorama creation.

Matlab code of Bayesian CP Factorization for Tensor Completion(Written by Qibin Zhao 2014)To run the code:1. Change Matlab work directory to "/BCPF_Toolbox_QZhao/".2. Run  "loadpah" code to add the current folder and subfolders into Matlab path searching list.3. Open and run the demo files. We provide two demo codes:I.  DemoBayesCP.m:        Demonstration on synthesic dataII. DemoBayesCP_Image.m   Demonstration for image completionThe package includes four algorithms:1. BCPF.m           BCPF for fully observed tensor2. BCPF_TC.m        BCPF for incomplete tensor 3. BCPF_IC.m        BCPF for image completion4. BCPF_MP.m        BCPF using mixture priors for image completionIn this package, we used the tensor toolbox 2.5, which is downloaded from (http://www.sandia.gov/~tgkolda/TensorToolbox)The tools for visualization of tensor with voxels is from Tensorlab (http://www.tensorlab.net/)

自相关、互相关、循环相关

在日常的生活中，通信是人们用来传递信息的方式。随着数字系统的飞速发展，对数字系统的性能和调制解调技术要求也越来越高。同时，由于计算技术的发展，通信系统的仿真已日益普遍，已逐渐成为今天设计和分析通信系统的主要工具。 本次设计将使用MATLAB软件设计函数对2FSK调制解调技术进行仿真和研究。 本文在第一章中介绍了通信系统的组成、MATLAB的使用。

【实例简介】《锁相环讲解及simulink仿真》一文中用到的参考文献及simulink工程文件

IMM-交互式多模型算法imm-simulationCV, CT, CA IMM model data generation