Description: Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables
To Search:
File list (Check if you may need any files):
Matlab Project
..............\A1.主分量分析（PCA）
..............\....................\~$.主分量分析（PCA）.doc
..............\A10.源信号线性混合及源信号卷积混合的分离
..............\........................................\A10.源信号线性混合及源信号卷积混合的分离....doc
..............\A2.全局最优盲源分离算法
..............\.......................\A2.全局最优盲源分离算法.doc
..............\A3.扩展联合对角化实信号盲分离算法
..............\.................................\A3.扩展联合对角化实信号盲分离算法.doc
..............\A4.基于累计量(SHIBBS)的实信号盲分离算法
..............\.......................................\A4.基于累计量(SHIBBS)的实信号盲分离算法.doc
..............\A5.最大信噪比盲源分离算法
..............\.........................\A5.最大信噪比盲源分离算法.doc
..............\A6.基于峭度的盲分离开关算法
..............\...........................\A6.基于峭度的盲分离开关算法.doc
..............\A7.信息最大化算法
..............\.................\A7.信息最大化算法.doc
..............\A8.基于累计量的独立分量分析改进算法
..............\...................................\A8.基于累计量的独立分量分析改进算法.doc
..............\A9.OGWE独立分量分析
..............\...................\A9.OGWE独立分量分析.doc
..............\B1.数据生成模型及程序
..............\.....................\B1.数据生成模型及程序.doc
..............\B10.gram_schmidt正交化算法
..............\..........................\B10.gram_schmidt正交化算法.doc
..............\B11.Kalman滤波盲多用户检测算法
..............\..............................\B11.Kalman滤波盲多用户检测算法.doc
..............\B12.特征值分解函数
..............\..................\B12.特征值分解函数.doc
..............\B14.基于特征值分解的分块处理子空间盲多用
..............\........................................\B14.基于特征值分解的分块处理子空间盲多用....doc
..............\B15.MMSE子空间自适应盲多用户检测
..............\................................\B15.MMSE子空间自适应盲多用户检测.doc
..............\B16.正交预测逼近子空间跟踪盲多用户算法
..............\......................................\B16.正交预测逼近子空间跟踪盲多用户算法.doc
..............\B17.压缩预测逼近子空间跟踪忙多用户检测算
..............\........................................\B17.压缩预测逼近子空间跟踪忙多用户检测算....doc
..............\B2.单用户解相关算法
..............\...................\B2.单用户解相关算法.doc
..............\B3.传统解相关多用户检测算法
..............\...........................\B3.传统解相关多用户检测算法.doc
..............\B4.多用户解相关算法
..............\...................\B4.多用户解相关算法.doc
..............\B5.自适应多用户检测算法
..............\.......................\B5.自适应多用户检测算法.doc
..............\B6.MMSE自适应盲多用户检测算法
..............\.............................\B6.MMSE自适应盲多用户检测算法.doc
..............\B7.最小输出能量盲多用户检测
..............\...........................\B7.最小输出能量盲多用户检测.doc
..............\B8.盲多用户检测恒模算法
..............\.......................\B8.盲多用户检测恒模算法.doc
..............\B9．改进的盲多用户检测恒模算法
..............\..............................\B9．改进的盲多用户检测恒模算法.doc
Download