cylindrical

基于MATLBA的无刷直流电机仿真，使用新版MATLAB可以运行,基于MATLBA的无刷直流电机仿真，使用新版MATLAB可以运行(thank you )

实现MUSIC算法的MATLAB仿真,实现波达方向的估计(MUSIC algorithm to achieve the MATLAB simulation, the realization of the estimated DOA)

很不错的程序，里面有详细的注解说明，可以拿来借鉴一下(very good procedure, there are detailed explanatory comments can be used to learn some lessons from)

This program describe how the UFMC method is used, which is an appraoch of OFDM but for 5 G systems wireless communication

该段程序代码是实现一阶惯性环节大林算法的matlab程序(The paragraph code is to achieve a first-order inertia link Dalin algorithm matlab program)

说明：  通过matlab的强大的计算功能，生成由1024点构成的正弦波、三角波、锯齿波，同时在界面显示波形。(Through the calculation of the power of matlab functions to generate points from 1024 constitute the sine wave, triangle wave, sawtooth wave, at the same time show the waveform of the interface.)

说明：  用matlab编的Capon算法和延迟相加法的程序，能够实现不同信号入射时的DOA估计，从而可以比较两种算法的分辨率等(Used for the Capon algorithm matlab and delays add up to the law of procedure, to achieve different signal DOA estimates at the time of the incident, which can compare the two algorithms, such as the resolution)

说明：  基于MATLAB的攻击水平机动目标比例导引三维弹道仿真。(MATLAB-based attacks on the level of proportional navigation for maneuvering target three-dimensional trajectory simulation.)

说明：  维纳滤波matlab源代码，无错，可以运行结果，有与fir滤波方法对比结果。(program of wiener filter used in image postprocessing,which can be runned with an expected result.)

谱聚类算法建立在谱图理论基础上，与传统的聚类算法相比，它具有能在任意形状的样本空间上聚类且收敛于全局最优解的优点。 该算法首先根据给定的样本数据集定义一个描述成对数据点相似度的亲合矩阵,并且计算矩阵的特征值和特征向量 ， 然后选择合适 的特征向量聚类不同的数据点。谱聚类算法最初用于计算机视觉 、VLS I 设计等领域， 最近才开始用于机器学习中，并迅速成为国际上机器学习领域的研究热点。(Spectral clustering algorithm based on the reproduction diagram theory, compared with the traditional clustering algorithm, it can have on the arbitrary shape of sample space clustering, and the advantage of converge to global optimal solution.The algorithm firstly according to the given sample data set defines a description of the data points of similarity in pairs of affinity matrix, and computing the matrix eigenvalue and characteristic vector, and then choose the appropriate feature vector clustering of different data points.Spectral clustering algorithm was originally used in computer vision, VLS in areas such as design, I recently started used in machine learning, and quickly became a hot issue in the field of international machine learning research.)