cs

Multivariate Relevance Vector Machines

说明：  计算特征值，特征向量，基本解，数值算法，计算特征值，特征向量，基本解，数值算法，(Computing eigenvalues, eigenvectors, the basic solution, numerical algorithm, eigenvalue calculation, feature vector, the basic solution, numerical algorithm,)

2012年全国大学生数学建模竞赛题目--葡萄酒的评价。文件中包含葡萄酒成分数据（Excel文件）、各种数据统计处理的MATLAB函数（已封装好，直接调用），包括：数据预处理、灰色预测、灰色关联度、基于熵权法的模糊综合评价、主成分分析、系统聚类、多元线性回归等程序。(Wines Evaluation from the title of 2012 National Undergraduate Mathematical ModelingContest. The file includes many MATLAB codes about statistical analysis of data.For example: Principal component analysis Grey Relational Analysis Fuzzy Comprehensive Evaluation Based on Entropy Method System Clustering Grey Prediction Multiple linear regression and so on. We can call them directly.)

模糊k均值算法，将模糊理论和k均值聚类算法想结合。(fuzzykmeans clustering ,combine the fuzzy theoy and kmeans clustering.)

可以实现的功能是：基于未知输入观测器的故障检测算法(You can achieve the function is: unknown input observer based fault detection algorithm)

far field modelling of active optical fibre 30core

程序实现用脉冲响应不变法和双线性变换法设计IIR滤波器，包括低通滤波器和高通滤波器，其中采样点N=1600，采样频率Fs=10000.(The same impulse response and bilinear transform IIR filter design, including low-pass filter and a high pass filter, where sampling points N = 1600, the sampling frequency Fs = 10000.)

简单迭代傅里叶变换算法的代码，主要用了快速傅里叶变换函数 (IFTA)(Iterative Fourier Transform Algothrim (IFTA))

说明：  这是学习matlab的经典课件的第二部分，第六到九章，包含微分方程求解、代数方程与最优化问题求解、概率论与数理统计问题求解、数学问题的非传统解法等等 (This is a classic learning courseware matlab second part of the sixth to nine chapters, including the differential equation solving, algebraic equations and optimization problem solving, probability theory and mathematical statistics, problem solving, mathematical problems of non-traditional method, etc.)

The performance coefficient depends on both the pitch angle (β) and the tip speed ratio (λ). The tip speed ratio is calculated by using blade tip speed and wind speed upstream of the rotor. The relationship between performance coeffi cient (c_p), pitch angle (β) and tip speed ratio (λ) is established by the c_p- λ approximation (3) for different blade pitch angle.