搜索资源列表
Bss4Speech
- 这是基于负熵方法的音频信号分离的固定点独立分量分析方法的Matlab程序。-This is based on negative entropy method of audio signal separation of fixed-point independent component analysis of the Matlab program.
PCA
- PCA主成分分析Matlab源码分析PCA(matlab)-Matlab source code of the principal component analysis
PCA-on-the-FERET-Dataset
- Principal Component Analysis on the FERET Dataset, 人臉辨識系統使用 PCA 應用在 FERET 人臉資料庫, 提供完整的 matlab 源碼.
PCA
- pca主成分分析算法matlab源码，利用matlab实现pca算法。附带pca相关资料-pca principal component analysis algorithm matlab source code, the use of matlab to achieve pca algorithm. Pca with information ... ...
pca1
- PCA matlab implementation. Principal Component Analysis for dimension reduction in datasets,in the field of Machine Learning.
audioseg-1.2.1.tar
- It can be used to divide an audio signal to several segmentations, such as speech, music and others. If you do not have Matlab v. 7.0.0 (R) installed on your Pc, you will have to download the Matlab Component Runtime installer and install it.
ACM_matlab
- 用于主成分分析和概率主成分分析的Matlab程序-Used principal component analysis and probabilistic principal component analysis Matlab program
Elem.-Math.-and-Comp.-Tools-for-Engineers-using-M
- This book presents variousMATLAB applications in mechanics and applied mathematics.Our objective is to employ numerical methods in examples emphasizing the appeal of MATLAB as a programming tool. The programs are intended for study as a primary com
ICA.25
- 独立成分分析的matlab实现，适合初学者学习和使用-Independent component analysis matlab implementation, suitable for beginners to learn and use
guassliezhuyuansu
- 用Matlab实现高斯列主元消去法解非齐次线性方程组-Matlab implementation by principal component Gaussian elimination method for solving the column non-homogeneous linear equations
zuijinlinfenlei
- 我们使用MATLAB软件实现了人脸识别并统计其识别率。本实验采用PCA（主成分分析）方法，利用K-L变换和奇异值分解原理实现。并分别采用最近邻法分类器得出它们的成功率。-We use face recognition software and the MATLAB Statistics recognition rate. The present study, PCA (principal component analysis) method, using KL transform and sin
AreaMeasure
- 本文件包含连通区域标记以及面积测量的matlab源代码-This document contains the connected component labeling, and area measurement of the source code matlab
fastICA
- 快速ICA算法的matlab程序编写，提供完整的快速独立主元分析方法。-Fast ICA algorithm matlab programming, provide a complete fast independent component analysis method.
Gauss-qzhyxq
- 数值分析中基于Matlab环境下的Gauss全主元消去法的源代码-Numerical analysis in Matlab environment based on principal component elimination method Gauss full source code
PCA_in_MATLAB
- principle component analysis methods for matlab wokspace.
PCA
- 用MATLAB编写的人脸识别算法，对PCA主成分分析进行了改进-Face recognition algorithm using MATLAB, the PCA principal component analysis has been improved
Code
- 主要是连通分量提取及实现,通过matlab实现的了在人脸局部图像中定位嘴的中心.-Mainly connected component extraction and realization, through matlab to achieve in the face of local images to locate the center of the mouth.
pca
- matlab algorithm，PCA (Principal component analysis)used for dimensionality reduction. usage:[NEW_DATA, EIGVECTOR, EIGVALUE] = PCA(DATA, EIG_N)
ofdm1
- 由MATLAB程序产生2Gbi/s的基带OFDM信号先将2^15-1个伪随机序列映射到256个进行4QAM编码调制的子载波上，编码后的OFDM符号再经过IFFT变换将其转换为时域波形，接着添加6.4ns的循环前缀（CP），产生的数据波形再装载到Tektronix任意波形发生器（AWG）中，产生2Gbit/s的基带OFDM信号。基带OFDM信号频谱示意图如图3所示。其中包括256个OFDM子载波256个子载波中200个子信道用来传送数据信号，27个高频和28个低频子信道为了过采样的需要置0，OFD
pca
- 主成分分析pca算法matlab程序代码：pca标准化、协方差、特征根特征向量、方差贡献率-Principal component analysis pca algorithm matlab code: pca standardized covariance, eigenvalues eigenvectors, the variance contribution rate. . .