搜索资源列表
Palm-biometrics-using-UDP
- This paper develops an efficient classification algorithm called UDP, which reduces the high dimension of sample to low dimensional subspace simply said as dimensionality reduction.UDP takes into account both the local and non-local quantities. It ca
moesp
- this file is a subspace identification method for identification of LTI System. this method is Multivariable output error State Space(MOESP).-this file is a subspace identification method for identification of LTI System. this method is Multivari
Mfaccrara
- 人脸识别的matlab代码，本征脸（ eigenface ）方法是子子空间人脸识别方法的典型代表。该方法一种基于一种部分的K -Matlab code for face recognition, eigenface (the eigenface) is a typical representative of the sub subspace face recognition methods. This method is based on a part of the K
Fsubbspace_ani
- 文件中包含：1.Yariv Ephraim与Yi Hu分别提出的两种信号子空间语音增强法；；2.白噪声带噪语音与粉红噪声带噪语音，可用于子空间语音增强法试验。具体说明见文件中的说明。 -The file contains: 1.Yariv Ephraim and Yi Hu proposed the two signal subspace speech enhancement method 2. White noise with noisy speech and pink noise w
mSubbspace_Lea
- 流形学习代码，典型的子空空间学习方法，可用于人脸识别 -Code of manifold learning, the typical subspace spatial learning method for face recognition
music
- 一种基本的MUSIC算法，子空间，初学都有用-a basic MUSIC ,helpful to learn the subspace method, for learner
subspace_method_qpsk
- 1利用噪声子空间进行信道估计 2两种ESPRIT算法 3两种MUSIC算法-1a subspace method for the bind identification of multichannel 2 two kinds of ESPRIT 3 two kinds of MUSIC
isolated-structure
- 基于子空间迭代法求解隔震结构振型的FORTRAN程序-Subspace iteration method to solve the isolation structure vibration mode
subspace-matlab
- 协方差驱动随机子空间法的matlab算法，我下的。-Covariance-driven stochastic subspace method
LS_esprit
- 传统的解相干方法主要有空间平滑和子空间拟合两类,但这些方法或者阵列利用率低或者计算复杂度高,因此寻求计算量小且阵列利用率高的解相干测向方法有重要意义.该文基于前后向矢量重构理论,-The traditional decoherence methods spatial smoothing and subspace fitting into two categories, but these methods or array utilization rate is low or high compu
n4sid1
- 子空间辨识模型的方法，很好用，可以应用于模型辨识方面-Model subspace identification method, useful, can be applied to aspects of model identification
BIDIRECTIONAL_SMOOTHNESS_MUSIC
- MUSIC算法[1]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 [1] is a feature space based on matrix decomposition method. From the geometric point of vie
STBC_sim
- The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file con
Classic-DOA-Estimation
- DOA估计两种子空间方法，MUSIC和ESPRIT算法，并分析了各参数对算法性能的影响。-Two subspace DOA estimation method, MUSIC and ESPRIT algorithm, and the influence of various parameters on the performance of the algorithm.
Subspace-algorithm
- Subspace algorithm A method of estimating state-space models using LS techniques-Subspace algorithm
STYLE-K
- 这个是检测技术的课程设计，还可以的，论文研究的重点是基于子空间方法-This is a detection technology curriculum design, but also, the paper focuses on the research method based on subspace
90255
- A subspace-based blind method is proposed for estimating the channel responses of a multiuser and multiantenna orthogonal frequency division multiplexing (OFDM) uplink system. It gives estimations to all channel responses subject to a scalar ma
randomForest_4.6-12.tar
- 在机器学习中，随机森林是一个包含多个决策树的分类器， 并且其输出的类别是由个别树输出的类别的众数而定。 Leo Breiman和Adele Cutler发展出推论出随机森林的算法。 而 "Random Forests" 是他们的商标。 这个术语是1995年由贝尔实验室的Tin Kam Ho所提出的随机决策森林(random decision forests)而来的。这个方法则是结合 Breimans 的 "Bootstrap aggregating" 想法
Random Forest
- 在机器学习中，随机森林是一个包含多个决策树的分类器， 并且其输出的类别是由个别树输出的类别的众数而定。 Leo Breiman和Adele Cutler发展出推论出随机森林的算法。 而 "Random Forests" 是他们的商标。 这个术语是1995年由贝尔实验室的Tin Kam Ho所提出的随机决策森林（random decision forests）而来的。这个方法则是结合 Breimans 的 "Bootstrap aggregating" 想法
ssi—1
- 此程序为随机子空间法的模态参数识别程序，可用来识别模态参数（模态频率，模态振型，阻尼比）(This program is a stochastic subspace method modal parameter identification program that can be used to identify modal parameters (modal frequency, mode shape, damping ratio))