MUSIC

说明：  matlab中的神经网络工具箱，可以利用其中的工具方便、快捷的完成任务(of Matlab Toolbox neural networks, which can use the tool to conveniently and quickly complete their mission)

Four crucial issues are considered by the proposed HoAL: 1) unlike binary cases, the selection granularity for multilabel active learning need to be fined from example to examplelabel pair 2) different labels are seldom independent, and label correlations provide critical information for efficient learning 3) in addition to pair-wise label correlations, high-order label correlations are also informative for multilabel active learning and 4) since the number of label combinations increases exponentially with respect to the number of labels, an efficient mining method is required to discover informative label correlations

分数阶传递函数的matlab描述与显示代码(Fractional transfer function matlab describe and display code)

Matlab 实用程序百例，学习这些可以让你更快的学会编程。(The Matlab utility 100 cases, learning allows you to learn faster programming.)

改进MUSICA算法前后向空间平滑法及修正MUSIC算法是两种估计相关信号的方法,能有效的估计出相关信源的来波方向。(It can effectively estimate the relevant source. For the simulation, this paper shows it’s reasonable. It is in radar, communications, seismic, and other fields there is a very broad application prospects.)

模糊度窄带，分为为单频信号，线性调频，双曲调频信号。通过模糊度椭圆计算时间分辨率和频率分辨率。(Narrowband ambiguity, divided into single-frequency signal, chirp, HFM signal. Computing time resolution and frequency resolution through ambiguity ellipse.)

《智能控制》第一版（刘金琨著）第二章程序源码(" Intelligent control" the first edition (Liu Jinkun a) Chapter II program source code)

（仅供学习使用）本文重点 研究了 Blueto oth 无线传输协议的 跳频 算法 ,给出 了 算法流程及分析说明 ,并且对信道跳频序 列 进行了 初步 的 性能 分析。 结果表明 该序列 具有良 好的 均 匀 性和随机性((for learning) this paper focuses on the Blueto oth wireless transmission protocol Algorithm, gives the flow and analysis of algorithm of channel frequency hopping sequence, and conducted a preliminary analysis of the performance. The results show that the sequence has a good average The uniform and random)

粒子群算法在无功优化中的应用，非常简洁，实用(Application of particle swarm optimization in reactive power optimization)

The program should recognize objects like circles, rectangles, and squares from the input image.