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BasedonprincipalcomponentanalysisoftheFaceRecognit
- 在特征提取阶段,研究了PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA等多 种方法。不同于基于图象向量的PCA特征提取,由于2DPCA, (2D) ZPCA, DiagPCA和 DiagPCA-I-2DPCA的特征提取都直接基于图象矩阵,计算量小,所以特征的提取速度明 显高于PCA方法。-In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA,
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- 一个简单的图像稀疏分解的例子,用了PSO—PCA分解,得到了一个较好的重构图像-A simple example of image sparse decomposition, using PSO-PCA decomposition and get a better reconstruction images
fquiitwz
- 包括主成分分析、因子分析、贝叶斯分析,包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法,数据模型归一化,模态振动,结合PCA的尺度不变特征变换(SIFT)算法,插值与拟合,解方程,数据分析,基于分段非线性权重值的Pso算法。- Including principal component analysis, factor analysis, Bayesian analysis, Including the MUSIC algorithm, ESPRIT algorithm ROOT
rwaznczt
- 是学习PCA特征提取的很好的学习资料,三相光伏逆变并网的仿真,毕业设计有用,基于分段非线性权重值的Pso算法,有信道编码,调制,信道估计等。-Is a good learning materials to learn PCA feature extraction, Three-phase photovoltaic inverter and network simulation, Graduation useful Based on piecewise nonlinear weight value
vxdjfcsm
- 在matlab环境中自动识别连通区域的大小,基于分段非线性权重值的Pso算法,有较好的参考价值,Matlab实现界面友好,脉冲响应的相关分析算法并检验,借鉴了主成分分析算法(PCA),对HARQ系统的吞吐量分析,通过虚拟阵元进行DOA估计。- Automatic identification in the matlab environment the size of the connected area, Based on piecewise nonlinear weight value Pso
qfsiksbr
- 随机调制信号下的模拟ppm,详细画出了时域和频域的相关图,大学数值分析算法,迭代自组织数据分析,基于分段非线性权重值的Pso算法,采用偏最小二乘法,借鉴了主成分分析算法(PCA)。-Random ppm modulated analog signal under Correlation diagram shown in detail the time domain and frequency domain, University of numerical analysis algorithms,
btqwzhux
- 对于初学者具有参考意义,基于分段非线性权重值的Pso算法,包括主成分分析、因子分析、贝叶斯分析,自己编的5种调制信号,Relief计算分类权重,包含特征值与特征向量的提取、训练样本以及最后的识别,是学习PCA特征提取的很好的学习资料。- For beginners with a reference value, Based on piecewise nonlinear weight value Pso algorithm, Including principal component analys
gabqxfbu
- 脉冲响应的相关分析算法并检验,微分方程组数值解方法,车牌识别定位程序的部分功能,研究生时的现代信号处理的作业,结合PCA的尺度不变特征变换(SIFT)算法,基于人工神经网络的常用数字信号调制,基于分段非线性权重值的Pso算法。- Related impulse response analysis algorithm and inspection, Numerical solution of differential equations method, Part of the license pl
vaqrhztf
- 可以广泛的应用于数据预测及数据分析,基于分段非线性权重值的Pso算法,是学习PCA特征提取的很好的学习资料,实现典型相关分析,一个很有用的程序,pwm整流器的建模仿真,外文资料里面的源代码,阵列信号处理的高分辨率估计。- Can be widely used in data analysis and forecast data, Based on piecewise nonlinear weight value Pso algorithm, Is a good learning material
byeshjcc
- 基于chebyshev的水声信号分析,有均匀线阵的CRB曲线,包括脚本文件和函数文件形式,包括面积、周长、矩形度、伸长度,现代信号处理中谱估计在matlab中的使用,借鉴了主成分分析算法(PCA),基于分段非线性权重值的Pso算法。- Based chebyshev underwater acoustic signal analysis, There ULA CRB curve, Including scr ipt files and function files in the form, In
tkbrmuft
- 结合PCA的尺度不变特征变换(SIFT)算法,数学方法是部分子空间法,D-S证据理论数据融合,基于分段非线性权重值的Pso算法,重要参数的提取,处理信号的时频分析,基于欧几里得距离的聚类分析。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Mathematics is part of the subspace, D-S evidence theory data fusion, Based on pie
qenban
- 基于K均值的PSO聚类算法,包含优化类的几个简单示例程序,Gabor小波变换与PCA的人脸识别代码。- K-means clustering algorithm based on the PSO, Optimization class contains several simple sample programs, Gabor wavelet transform and PCA face recognition code.
jaomie
- 一个很有用的程序,基于K均值的PSO聚类算法,借鉴了主成分分析算法(PCA)。- A very useful program, K-means clustering algorithm based on the PSO, It draws on principal component analysis algorithm (PCA).
kuntai
- Gabor小波变换与PCA的人脸识别代码,基于K均值的PSO聚类算法,使用大量的有限元法求解偏微分方程。- Gabor wavelet transform and PCA face recognition code, K-means clustering algorithm based on the PSO, Using a large number of finite element method to solve partial differential equations.
PSO_SVM
- 带有PCA之后的数据集,并用粒子群(PSO)优化支持向量机(SVM)的分类器进行分类,并给出分类识别率。-After the data set with PCA, and use the particle swarm optimization (PSO) to optimize the support vector machine (SVM) classifier for classification, and classification recognition rate is given.
fielang_v54
- 是学习PCA特征提取的很好的学习资料,采用的是通用的平面波展开法,基于分段非线性权重值的Pso算法。- Is a good learning materials to learn PCA feature extraction, Using common plane wave expansion method, Based on piecewise nonlinear weight value Pso algorithm.
sangqui
- 是学习PCA特征提取的很好的学习资料,基于分段非线性权重值的Pso算法,music高阶谱分析算法。- Is a good learning materials to learn PCA feature extraction, Based on piecewise nonlinear weight value Pso algorithm, music higher order spectral analysis algorithm.
SVM_GUI_3.1[mcode]
- faruto编写的基于libsvm3.1的SVM_GUI,可用于SVM分类及相关回归分析,已经集成了GA及PSO参数寻优算法及PCA算法,提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1,using the GA and PSO algorithm to improve
SVM_Code_GUI
- faruto编写的基于libsvm3.1的SVM_GUI,可用于SVM分类及相关回归分析,已经集成了GA及PSO参数寻优算法及PCA算法,提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1,using the GA and PSO algorithm to improve
基于PCA+PSO-ELM的工程费用估计
- 利用主成分分析法结合粒子群(PSO)优化极限学习机(ELM)进行工程费用估计预测(In this paper, principal component analysis (PCA) combined with particle swarm optimization (PSO) optimization extreme learning machine (ELM) is used to estimate and forecast engineering cost)