搜索资源列表
117
- 针对非线性非平稳信号的去噪问题,提出一种基于主成分分析(PCA)的经验模态分解(EMD)消噪方法.该方法根据EMD的分解特性,利用PCA对噪声信号经EMD分解后的内蕴模态函数(IMF)进行去噪处理-For nonlinear and non-stationary signal de-noising is proposed based on principal component analysis (PCA) of the empirical mode decomposition (EMD) de
fusetool
- 这个工具箱包括以下融合方法: 线性方法 线性叠加 pca加权叠加 非线性方法 选择最小值 选择最大值 多分辨率方法 拉普拉斯金字塔 fsd金字塔 比率金字塔 对比度金字塔 梯度金字塔 使用DBSS dwt(2,2)小波 sidwt使用哈尔小波 形态金字塔 这个函数是伴随着一个图形用户界面,允许图像i / o和交互式选择所有相关参数。 -The toolbox includes the following fusion metho
ndfa_control_1.0.1.tar
- 用于盲辨识的非线性动力因素分析,可用于PCA和BSS的非线性动态状态空间模型。-Nonlinear dynamic analysis of the factors used to blind identification can be used nonlinear dynamic state-space model of PCA and BSS.
kernel-linear-principal-componenet
- this principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models -this is principle component analysis(PCA) t
20494855sime-kpca
- kpca是对原来的pca程序进行核处理,具有一定的非线性。-Kpca is nuclear processing, on the original pca program is nonlinear.
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
senhai_v64
- 借鉴了主成分分析算法(PCA),包含光伏电池模块、MPPT模块、BOOST模块、逆变模块,关于非线性离散系统辨识。- It draws on principal component analysis algorithm (PCA), PV modules contain, MPPT module, BOOST module, inverter module, Nonlinear discrete system identification.
leiling_v80
- 利用最小二乘法进行拟合多元非线性方程,借鉴了主成分分析算法(PCA),用MATLAB实现动态聚类或迭代自组织数据分析。- Multivariate least squares fitting method of nonlinear equations, It draws on principal component analysis algorithm (PCA), Using MATLAB dynamic clustering or iterative self-organizing data
kanglai
- 关于非线性离散系统辨识,真的是一个好程序,结合PCA的尺度不变特征变换(SIFT)算法。- Nonlinear discrete system identification, Really is a good program, Combined with PCA scale invariant feature transform (SIFT) algorithm.
gingfei
- 用平面波展开法计算二维声子晶体带隙,关于非线性离散系统辨识,Gabor小波变换与PCA的人脸识别代码。- Computation Method D phononic bandgap plane wave, Nonlinear discrete system identification, Gabor wavelet transform and PCA face recognition code.
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.
jeiqiu
- 利用最小二乘法进行拟合多元非线性方程,是学习PCA特征提取的很好的学习资料,包括轨道机动仿真、初轨计算。- Multivariate least squares fitting method of nonlinear equations, Is a good learning materials to learn PCA feature extraction, Including orbital maneuvering simulation, initial orbit calculation.