oxford-mlmc-matlab-master

猜数字游戏：首先让电脑产生一个1~100的随机数x,然后由用户猜测该数字。如猜测的数字B大于x，则显示“High”，小于则显示“Low”，等于则显示“You Won”，同时退出游戏。用户最多可以猜10次。 ()

RAKE receiver for DS-SS systems.mdl DS-CDMA的Rake接收机的Simulink仿真文件(RAKE receiver for DS-SS systems.mdl DS-CDMA the Rake receiver Simulink simulation files)

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.

texture using matlab

实用最优化方法中的经典题目，包含DFP算法、共轭梯度法、内点法、阻尼牛顿法、最速下降法,都要求在matlab软件下执行，有正确结果输出。(The classical topics practical optimization method, including the DFP algorithm, conjugate gradient method, interior point method, damped Newton method, the steepest descent method, are required to perform the MATLAB software, the correct output results. )

运用MATLAB语言，构造了.bmp文件，其中包含了黑白，256色以及真彩图片，加强了对于 .bmp文件的理解，及MATLAB语言对于文件的读写(The use of MATLAB language, is constructed. Bmp file, which contains black and white, 256-color and true color images, enhanced for. Bmp files to understand, and the MATLAB language for the document to read and write)

simulation file in matlab simulink

In this work, the Mel frequency Cepstrum Coefficient (MFCC) feature has been used for designing a text dependent speaker identification system. The extracted speech features (MFCC’s) of a speaker are quantized to a number of centroids using vector quantization algorithm. These centroids constitute the codebook of that speaker. MFCC’s are calculated in training phase and again in testing phase. Speakers uttered same words once in a training session and once in a testing session later. The Euclidean distance between the MFCC’s of each speaker in training phase to the centroids of individual speaker in testing phase is measured and the speaker is identified according to the minimum Euclidean distance. The code is developed in the MATLAB environment and performs the identification satisfactorily.

说明：  机械故障诊断方法，包含小波分析，小波包分析，支持向量机等多种分析方法程序。(Mechanical fault diagnosis methods, including wavelet analysis, wavelet packet analysis, support vector machine and other analysis methods.)

在使用MATLAB完成小波变换程序和通过阈值来压缩图像的过程中，我和许多同学都是边学边用，是从一个接一个的问题中逐步理解小波和MATLAB编写程序的。因此我愿意就个人遇到和解决问题的经验与大家讨论，希望能够对遇到同样问题的人有所帮助。(using MATLAB completed wavelet transform procedures and through the threshold to compress images of the process, I and many of my classmates are used to learn while, is a problem then a gradual understanding of wavelet and MATLAB preparation procedures. Therefore I am willing to personally encounter and the experience to solve the problem with us, it is hoped to have the same problem of some help.)