encryption

MASScalaire commande scalaire de machine asynchrone

说明：  用于无线通信中天线仿真，matlab上的源代码，第六部分。(For wireless communications antenna simulation, matlab on the source code, Part VI.)

资料介绍了在matlab平台下进行语音端点检测的方法及其操作流程，端点检测使有效的语音数据得到了提取。(Information on the process of speech endpoint detection under the MATLAB platform and its operation process, the speech endpoint detection data efficiently extracted.)

说明：  This is very simple matlab code for laplacian pyramid used in contourlet transform.

matlab中研究非线性动力学现象程序，倍周期分岔 ，(matlab program in the study of nonlinear dynamical phenomena)

说明：  使用四种方法进行鸢尾花分类：最小距离分类器，K 近邻法，感知器，Fisher 准则。(Four methods are used to classify iris: minimum distance classifier, K-nearest neighbor method, perceptron and Fisher criterion.)

使用CDS(一种基于John算法的拓展算法)和Palmer算法解决m-machine和n-job 的jobshop schedling问题，并对主要的功能指标进行比较。使用Matlab运行调用Drawchat（）函数。(Use of CDS (algorithm based on the expansion of John algorithm) and Palmer algorithm to solve m-machine n-job and the jobshop schedling issues and the main features were compared. Run using the Matlab call Drawchat () function.)

matlab code for envelope detector for analog communications.

遗传算法matlab程序，适合初学者，请大家指教(Genetic algorithm matlab program, please advise)

一个基于阈值的粒子比较准则，用于处理多目标约束优化问题,该准则可以保留一部分序值较小且约束违反度在允许范围内的不可行解微粒,从而达到由不可行解向可行解进化的目的；一个新的拥挤度函数,使得位于稀疏区域和Pareto前沿边界附近的点有较大的拥挤度函数值,从而被选择上的概率也较大 从而构成解决多目标约束优化问题的混合粒子群算法。(A comparison based on the threshold criteria for the particle to handle multi-objective constrained optimization problem, part of the guidelines can keep order value is small and the constraint violation in allowing infeasible solutions within the particles, so as to achieve a feasible solution to the infeasible solution The purpose of evolution a new function of crowding, making the Pareto front in the sparse region and near the border points have a greater value of the congestion function, which is the larger the probability of selection so as to constitute solve multi-objective constrained optimization problems hybrid particle swarm algorithm.)