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kmeans
- k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the clu
SVM
- In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
DTC_SVM
- 基于空间电压矢量的永磁同步电机直接转矩控制的MATLAB\simulink，仿真结果良好-Space voltage vector based permanent magnet synchronous motor direct torque control MATLAB \ simulink, the simulation results good
fisher
- Fisher线性鉴别分析已成为特征抽取的最为有效的方法之一 .但是在高维、小样本情况下如何抽取Fisher最优鉴别特征仍是一个困难的、至今没有彻底解决的问题 .文中引入压缩映射和同构映射的思想 ,从理论上巧妙地解决了高维、奇异情况下最优鉴别矢量集的求解问题 ,而且该方法求解最优鉴别矢量集的全过程只需要在一个低维的变换空间内进行 ,这与传统方法相比极大地降低了计算量 .在此理论基础上 ,进一步为高维、小样本情况下的最优鉴别分析方法建立了一个通用的算法框架 ,即先作K L变换 ,再用Fisher鉴别
A_subspace_algorithm
- 子空间算法是一种基于矩阵特征空间分解的方法，信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成噪声子空间则由协方差矩阵中所有最小特征值噪声方差对应的特征向量组成。子空间算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位-Subspace algorithms is minimized by the corresponding eigenvalues of all the noise variance-covariance matrix of a
SVPWM
- 本文首先介绍了三电平逆变器的工作原理，以及空间电压矢量控制技术的基本原理。 其次，详细分析了传统三电平SVPWM算法，对每个主要模块都提出两种MATLAB仿真方法，归纳总结仿真技巧。-This paper firstly introduces the working principle of three-level inverter, and the basic principle of space voltage vector control technology. Second, tradi
word2vec
- word2vec模型源代码，实现分词及词向量的n维空间模型表示等功能-Word2vec model source code, the realization of the space of n-dimensional model of segmentation and word vector representation
three-phase-inverter
- 该程序仿真了基于三相逆变器的空间矢量PWM。可以在示波器上看到线电压，相电压和滤波电压。调制指数、DC电压和频率参数可以修改。-The program simulates the vector PWM space-based three-phase inverter. You can see the line voltage, phase voltage and filtering the voltage on an oscilloscope. Modulation index, DC volt
Capon_output
- 单基雷达的空时导向矢量方向图的Capon谱示意图，基本空时自适应处理的程序-Oriented single radar vector direction of the space-time diagram of Capon spectrum diagram basic space-time adaptive processing procedures
lda-0.2-matlab
- matlab判别分析，基本思想是将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性。-matlab discriminant analysis, the basic idea is to sample the high-dimensional pattern projected onto the optimal discriminant vector space, i
13
- 粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是
opencv
- 利用opencv实现图片色彩空间的分离显示：分别分离成RGB和HSV，然后提取特征向量实现图片比较-Display image color space using the opencv: RGB and HSV were separated, and then extract the feature vector is realized.
svpwm_producer
- 我自己搭建的空间电压矢量波形发生器，功能完全可以达标，已经模块化-I build the space voltage vector waveform generator, the function can be complete, has been modular
Optimization-algorithm-of-PSO
- 粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 -Particle swarm optimization (PSO) is a kind of stochastic opti
POD
- pod orthogonal decomposition - This function calculates the POD basis vectors Function inputs: X : (n x nsnap) snapshot matrix n = number of states in full space nsnap = number of snapshots cener
Antenna_ComputerProject_3D
- Codebook is a known matrix, had been create and setup when initial design a system. Each column in codebook specifies a beamforming weight vector, or in other words, specifies a combination for the phase shifters and amplitude controllers to create a
Codebook_Generate_MetricForm
- Codebook is a known matrix, had been create and setup when initial design a system. Each column in codebook specifies a beamforming weight vector, or in other words, specifies a combination for the phase shifters and amplitude controllers to create a
BF_QPSK
- Codebook is a known matrix, had been create and setup when initial design a system. Each column in codebook specifies a beamforming weight vector, or in other words, specifies a combination for the phase shifters and amplitude controllers to create a
kmo
- k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the clu
VSM
- 向量空间模型svm，主要用于检测文档间的相似度。-Vector space model svm, mainly used for detecting the similarity between documents.