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环境下构建一种新的系统辨识仿真工具箱(SIST: System Identification Toolbox)的原理与实现,讨论了在MATLAB 环境下工具箱的数据和算法结构形式,以及利用GUIDE完成图行界面的设计,用MATLAB 与C++混编技术实现物理系统的I/O 接口和系统辨识... (err)

这是一个求接收信号中循环谱的程序，可供接收机设计的朋友参考(This is the PSD program.)

pca进行人脸识别的原理和代码，特征脸方法，图像重建(PCA for face recognition principle and code, Eigenfaces method, image reconstruction)

用matlab合成地震记录，matlab代码，石油勘探，地震正演模拟(sythetic seismic record with matlab)

实现有效的学习算法 的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱("SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models. The "Version 2" package is an expanded implementation of the algorithm detailed in: Tipping, M. E. and A. C. Faul (2003). "Fast marginal likelihood maximisation for sparse Bayesian models." In C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL, Jan 3-6. This paper, the accompanying code, and further information regarding Sparse Bayesian models)

说明：  此为对于均匀阵列的MUSIC算法的源代码，希望对大家有用(this a uniform array for the MUSIC algorithm source code, we want to help!)

Diffraction Patterns 1st program gives the image of Gaussian beam, the 3nd calculate the pattern of the diffraction using FFT.

a Use full guide to Solving Optimization Problems using the Matlab Optimization Toolbox

车牌字符识别matlab源程序车牌字符识别matlab源程序车牌字符识别matlab源程序(The license plate character recognition matlab source code license plate character recognition matlab source code license plate character recognition matlab source code)

Fast mex K-means clustering algorithm with possibility of K-mean++ initialization (mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael) - Accept single/double precision input - Support of BLAS/OpenMP for multi-core computation Please run mexme_yael_kmeans.m to compile mex-files (be sure that mex -setup have been done at least one) Run demo "test_yael_kmeans.m"(Fast mex K-means clustering algorithm with possibility of K-mean++ initialization (mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael) - Accept single/double precision input - Support of BLAS/OpenMP for multi-core computation Please run mexme_yael_kmeans.m to compile mex-files (be sure that mex-setup have been done at least one) Run demo "test_yael_kmeans.m")