搜索资源列表
features
- Learning Hierarchical Invariant Sptio-temporal Features for Action Recognition with Independent Subspace Analysis. This package is aimed at providing read-to-use video features the stacked convolutional ISA model described in the paper, and functions
gpca
- Title:Detection of visual attention regions in images using robust subspace analysis
CSRec_SP
- Subspace Pursuit for Compressive Sensing
meansub-code
- It is a matlab code used to calculate the subspace algorithm of signals.
mypca
- principal component analysis (PCA ) is a well known approach for dimensionality reduction of the feature space. It has been successfully applied in face recognition. The main idea is to decompose face images into a small set of feature images called
Eigbased
- 基于子空间的波束形成算法，主要利用信号子空间投影的原理-Subspace-based beamforming algorithm, the main use of the principle of the signal subspace
Ap
- 采用正交投影生成子空间算法来进行最大似然估计，程序已经运行出结果。可以放心使用-Orthogonal subspace projection algorithm for generating maximum likelihood estimates, the program has run out of results. Safe to use
LGE
- 线性图嵌入方法，该方法是一种基于图框架的子空间学习方法，被用于LPP,NPE等流行学习方法中。-(Regularized) Linear Graph Embedding (Provides a general framework for graph based subspace learning. This function will be called by LPP, NPE, IsoProjection, LSDA, MMP ...)
PAST
- 投影逼近子空间跟踪(past)算法的实现以及和多重信号分类(music)算法的对比。内附注释-Projection approximation subspace tracking (past) algorithm and implementation as well as multiple signal classification (music) algorithm comparison. Included comments
CDMA_MUD
- CDMA 多用户检测算法（全集），包括最优检测器，相关检测器，KALMAN检测器，子空间检测器，自适应多用户检测器，盲自适应多用户检测器等等，硕士毕业论文可用。-CDMA multi-user detection algorithm (Works), including the optimal detector, the relevant detector, KALMAN detector, subspace detectors, adaptive multi-user detector, bl
Identification-Method-for-MIMO-OFDM-
- 对于多输入多输出系统, 传统的基于训练序列的信道辨识方法为跟踪信道的变化, 必须 发送大量冗余信息, 传输效率较低 而基于子空间的纯盲方法又带有不可避免的模糊性, 辨识结果 精度不够。在子空间法的基础上, 利用少量训练符号估计出模糊矩阵, 以此矫正子空间法得到的结 果。仿真结果显示: 在保证辨识精度的前提下, 该方法减少了训练符号等冗余, 提高了传输效率。-In o rder to t rack the channel variat ion of MIMO OFDM
music
- MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。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-MUSIC algorithm is a feature space based on matrix decomposition method. From the geometric point of view, the o
pbm_src
- Projection Based M-Estimator ,一个基于M -Estimator估计器的投影程序，能够很好的估计，计算机图像领域的线性、异方差（椭圆和 基础矩阵）和子空间等。- using the base class for linear, heteroscedastic (ellipse and fundamental matrix) and subspace estimation are included in the program.
PAST_MUSIC
- 使用PAST算法进行子空间分析，MUSIC算法进行频率估计，实现了对信号的频率跟踪-Using the PAST subspace analysis algorithm, MUSIC frequency estimation algorithm to achieve the signal frequency tracking
KMout
- 本程序用于从ANSYS的子空间迭代法模态分析所获得的.full文件 萃取整体刚度和质量矩阵。-This procedure is used to extract the overall stiffness and mass matrixfrom the modal analysis of ANSYS (subspace iteration method). .
pca2
- PCA人脸识别算法，子空间的方法之一，比较基础-PCA face recognition algorithm, one of the subspace method and basis of comparison
CSS-DOA-Multiple-Wide-Band-Sources
- 阵列信号处理 宽带信号子空间拟合 DOA算法 IEEE 文章-array signal processing for wideband coherent subspace fitting
DOA-estimation-QSS-KR-subspace
- DOA 估计 在循环平稳下通过 khatri-Rao product 子空间拟合-DOA estimation via quasi-stationary KR product
MUSIC-and-ESPRIT-code
- 子空间特征值分解的法是波达方向估计的常用方法 下面提供的是两种 高分辨率的music和esprit程序-Subspace eigenvalue decomposition method is a wave of direction of the commonly used method provided below estimates is two kinds of high resolution music and esprit program
transforming-music
- 子空间特征值分解的法是波达方向估计的常用方法 下面提供的是两种 高分辨率的music和esprit程序-Subspace eigenvalue decomposition method is a wave of direction of the commonly used method provided below estimates is two kinds of high resolution music and esprit program