axesprop

说明：  【 摘 要】 提出了一种基于负熵的快速不动点1 C A算法， 介绍了负熵的定义和如何将其用作代价函数度量混合信号的非 高斯性。 详细介绍了基于负熵的固定点准则以及简化算法。实验选取 3个非高斯向量作为信号源进行 Ma t l a b分离仿真， 结果显示 分离效果良好。 (Abstract Based on the rapid Negentropy 1 CA fixed point algorithm, introduced the definition of negentropy and how to measure its cost function for mixed-signal of the non-Gaussian. Described in detail based on the fixed-point Negentropy criteria and simplify the algorithm. Experiment to select three non-Gaussian vector as a signal source separation Ma tlab simulation results showed good separation efficiency.)

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].)

基于经典的优化算法--模拟退火算法的旅行商问题寻优实现，该算法比较经典，可用于后续一些性能对比分析(The traveling salesman problem-- the classical optimization algorithms and simulated annealing algorithm is implemented based on the algorithm, compare the classic, can be used for the analysis of subsequent performance comparison)

说明：  基于TDOA声源定位算法仿真–MATLAB仿真(Simulation of acoustic source location algorithm based on TDOA - matlab simulation)

Implementation of a WiMAX simulator in Simulink

在erdas中，用于各种打开图像文字综合，并富含图片等举例说明(In erdas in, open the images for a variety of integrated text and photographs, and other examples of rich)

讲解MATLAB中SIMULINK的主要功能和模块(SIMULINK of MATLAB on the main functions and modules)

Duchi and Singer [24] proposed a boosting method for multi-class classification problems by utilizing the structural sparsity of model parameters. They claimed that the method can be generalized for multi-task learning.

TSP用matlab来实现，能够实现简单的图像功能，同时能够快速的找到最优点(TSP using matlab to achieve, to achieve a simple image function while being able to quickly find the most advantages)

conventional simulink statcom