Array-processing

The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.

MATLAB在自动控制系统中的仿真应用，电子书，内容很有价值，本站尚没有此书。(MATLAB in Simulation of automatic control system application, e-books, valuable content, this site has not this book.)

Principal component analysis for a voice signal

PV Array very goog in usw

This file contain the programs of cap 2 of the book digital signal processing , writing by mitra 3rd edition.

maze solution. it is a solution for maze problem with matlab code. in this solution I used very simple functions and it is easy for everyone.

为卷积神经网络的优化代码，广泛适用于图像处理。(Convolution neural network optimized code, widely used in image processing.)

迭代自组织数据分析，利用贝叶斯原理估计混合logit模型的参数，是信号处理的基础。( Iterative self-organizing data analysis, Bayesian parameter estimation principle mixed logit model, Is the basis of the signal processing.)

matlab实例，有限元方程建立求解，内包括fem和具体实例(matlab example, finite element equation to solve, including specific examples and fem)

End POint detection algorithm using Energy-ZCR