Chap2

一种基于正方形的摄像机参数标定程序，简单实用(camera calib )

计算多重分形非趋势波动分析matlab程序(Calculation of non-multi-fractal detrended fluctuation analysis matlab program)

rake接收机性能的深入分析研究，主要是在CDMA中的应用(in-depth analysis of the rake receiver performance research, mainly in the CDMA Application)

根据串级控制原理，使用MATLAB编程实现系统控制(According to the principle of cascade control, system control using MATLAB programming)

This is the paper hematology pdf paper to implement in matlab

遗传算法原理matlab实现，为大家提供里哦啊一个学习matlab的平台，也为大家提供了学习算法的环境。(Genetic Algorithms matlab implementation, provide a learning matlab in Oh ah platform for us to provide a learning algorithm environment.)

实现了 SVM 在医学图像分类中的应用，通过医学图像的实验结果验证了该方法的有效性。 对 SVM 算法进行了深入研究，结合量子行为的粒子群算法的优点，提出了一种量子行为的粒子群算法和 SVM 结合的混合分类模型，应用于医学图像的分类中。 深入研究了 K-means 算法，结合了无监督聚类和监督分类方法的优点，提出了一种 K-means 和 SVM 结合的混合分类模型，并应用于医学图像的分类中。 利用粒子群和量子行为的粒子群算法对 K-means 算法进行了改进，并将改进的K-means 算法与 SVM 算法结合形成全自动分类模型，并且把它应用于医学图像的分类中。 (SVM in the classification of medical image applications, medical images through the experimental results verify the effectiveness of the method. SVM algorithm conducted in-depth research, combined with the quantum behavior of the advantages of particle swarm optimization, PSO and SVM combined behavior of a quantum mixed classification model, applied to medical image classification. In-depth study of the K-means algorithm combines the advantages of unsupervised clustering and supervised classification method, propose a hybrid combination of a K-means and SVM classification model, and applied to the classification of medical images. Improved particle swarm algorithm using particle swarm and quantum behavior of the K-means algorithm, and improved K-means algorithm and SVM algorithm combined with the formation of a fully automatic classification model, and apply it to medical image classification.)

该链路仿真了OFDM系统在克服瑞丽多径衰落的影响中性能，并使用了理想信道估计。(The link of the OFDM system simulation Ruili in overcoming the effects of multipath fading in the performance and the use of an ideal channel estimation.)

C语言编写P-Q分解法潮流计算程序，基于BB方案，且该程序采用基于稀疏技术的因子表法进行迭代求解，以降低存储量，提高运算速度。附有IEEE5,14,30,39,118节点系统数据及潮流结果，已验证程序的可行性。(C language PQ decomposition method flow calculation procedures, based on BB plan and carry out the program uses an iterative solution technique based on sparse factor table method to reduce the storage capacity, improve processing speed. IEEE5,14,30,39,118 node system with data and trend results verified the feasibility of the program.)

本文实现了09年CVPR的文章Linear Spatial Pyramid Matching using Sparse Coding for Image Classification(This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification". )