matlabsuanfa

中央财经大学2014年matlab课程专用课件，仅供经管类学科学生参考。(Central University of Finance and Economics in 2014 dedicated courseware matlab course, economics and management discipline students for reference purposes only)

关于非线性光纤环形镜透射率的计算，用于光纤激光器和光纤传感器的设计和研发(Nonlinear optical fiber loop mirror)

说明：  MATLAB的向量矩阵运算，可以了解矩阵和向量在MATLAB中的用法。(MATLAB' s vector matrix operations, matrix and vector can understand the usage in MATLAB.)

蚁群算法matlab实现，蚁群算法matlab实现仿真，基本功能是实现蚁群(Ant colony matlab implementation, ant colony algorithm for simulation matlab, the basic function of an ant colony)

describe kalman filter for tracking

说明：  多元统计分析过程下的主元个数的计算，运用于pca以及pls的数据分析算法中(the calculation of principal components)

A/D和D/A转换器模型 对串行和并行输出的8位A/D和D/A转换器进行仿真，转换值范围为0到255，转换采样率为1次/秒。 (A/D and D/A converter model, serial and parallel output of the 8-bit A/D and D/A converter to simulate the conversion values range from 0 to 255, change the sampling rate of 1 times/sec.)

运用matlab工具对语音信号处理的几个方面：短时能量、端点检测、和功率谱及短时傅立叶变换特性作了简单的分析。(use Matlab tool for voice signal processing areas : short-term energy and endpoint detection, and the power spectrum and the characteristics of short-time Fourier transform with a simple analysis.)

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

这个是一个旅行商的问题，在多个路段中选择合适的路径是解决问题的关键，这个算法就解决了这个问题(This is a traveling salesman problem, in many sections to choose the right path is the key to solve the problem, this algorithm has solved this problem)