910

说明：  image processing and noise models

基于贝叶斯学习的算法，对一系列信号进行聚类分析(Bayesian learning algorithm based on cluster analysis of a series of signals)

结合压缩感知的分形编码研究,希望对大家有所帮助。(Combined the compressed sensing fractal coding research)

使用MATLAB画折线图，包含完整代码，轻松学会使用MATLAB画折线图(use MATLAB)

说明：  ma yi sparse representation classification .EXTENDED YALE B database.recognition rate 95 。(ma yi sparse representation classification. recognition rate 95 .)

应用模拟退火的TSP优化算法，程序注释清晰，运行流畅(The TSP simulated annealing optimization algorithm, the program notes clear and running smoothly)

用传输矩阵的方法和Matlab技术研究光子晶体的缺陷模式(With the transfer matrix method and Matlab research photonic crystal defect mode)

Arquivo do Fastreport para implementaç ã o

LMI Introduction robust control(LMI Introduction)

Prony算法工具箱。Prony方法是用一组指数项的线性组合来拟和等间距采样数据的方法,可以从中分析出信号的幅值、相位、阻尼因子、频率等信息。considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.(Prony algorithm toolbox. Prony method is used for a group of items to be linear combination of distance and other data sampling methods be able to analyze the signal amplitude, phase, the damping factor, frequency, and other information. Considerations including data preprocessing , model order selection, model order selection criteria. signal subspace selection, signal and noise separation, root inspection and assessing residuals. The P Tbox provides flexibility to compare and displ ay analysis results simultaneously for severa l parameter variations.)