boeing747simulink

在Juan Cardelino发布的FMM(fast marching methos)2维程序基础上改写的3维程序。并改写成适合复杂速度模型，可用于地震旅行时计算。大模型3d算法在matlab下计算速度较慢，根据源码中的注释很容易改写成c程序。(3D FMM program revised from Juan Cardelino s 2D version. The program can calculate the seismic traveltimes in 3D complex model)

说明：  自适应滤波的MATLAB实现，包括lms rls 等算法(MATLAB programing rls lms)

MATLAB及在电子信息课程中的应用（第4版）,本资料是这本书中每个例子的详细matlab代码。对做研究和工程的人员来说比较有用。(MATLAB and its application in the electronic information Course (4th edition), this information is in this book each case in detail matlab code. Useful for doing research and engineering personnel who.)

MasterCard CAP: cap fa final 2007.pdf CAP-FA_SummaryOfChanges_2004-2006_v0-1.pdf

QAM和OFDM两种方式性能对比，具有图形界面GUI，并且包括收发两端完成的代码 (QAM and OFDM performance comparison of two ways, with a graphical interface GUI, and includes the sending and receiving ends to complete the code)

Here the code which is help you to find the minutiae in fingerprint

time series In this example we will use a synthetic data set. To create our synthetic data we will make our unit of time 1000 years = 1 ky and sample a 500,000 year record in 2 ky increments. We first create a vector containing the times:

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.)

遗传工具箱在matlaB中的实现，压缩包里面包含多个源代码。(Genetic toolbox in MATLAB, compression package which contains more than one source.)

％this program is written by 刘学智. Finished time is 05.1.23 16:03 ％utilizing it solving TSP problem by simulating stealing algorithm ( This program is written by Liu Xuezhi. Finished time is 05.1.23 16:03 utilizing it solving TSP problem by simulating stealing algorithm)