lyapunov

天线阵列与载体一体化设计方面的研究文章···(Antenna array with carrier integration design research articles)

此为基于MATLAB平台计算指纹图像中两点之间穿越纹线数(For fingerprint processing is calculated through the ridge)

一个适合初学者学习和应用扩展的基于matlab的鼠标跟踪实例(mouse tracking)

image clustering file

This document contains the details of Old Age Pension Scheam system. It will gives you an guideline how to prepare the Old Age Pension System.

particle swarm optimization for loss reduction

基于数据建模正交矩阵分解程序,基于Matlab语言实现(Program for OMD of data-based modeling，implemented by using matlab)

ACO解决TSP问题的MATLAB源程序(ACO to solve TSP problems MATLAB source)

GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For an account of various methodologies as well as some of potential applications, the interested reader is referred to [1, 2] and the nice collection of papers [5].(GloptiPoly 3: moments, optimization andsemidefinite programming.Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem ofMoments (GPM), an infinite-dimensional optimization problem which can be viewed asan extension of the classical problem of moments [8] . From a theoretical viewpoint, theGPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to citea few. In addition, and despite a rather simple and short formulation, the GPM has alarge number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For anaccount of various methodologies as well as some of potential applications, the interestedreader is referred to [ 1, 2] and the nice collection of papers [5].)

采用wiener_HOLF方法实现的维纳滤波的过程，对加噪图形采用维纳滤波(wiener_holf method)