Description: 这是李晓华博士关于MIMO盲均衡的系统matlab源码，其中设计二阶统计，CMA均衡器，以及子空间方法。-This is Dr. Li Xiaohua on MIMO blind equalization system Matlab source, Design order statistics which, CMA equalizer, and subspace methods. Platform: |
Size: 102833 |
Author:到达 |
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Description: 这是李晓华博士关于MIMO盲均衡的系统matlab源码，其中设计二阶统计，CMA均衡器，以及子空间方法。-This is Dr. Li Xiaohua on MIMO blind equalization system Matlab source, Design order statistics which, CMA equalizer, and subspace methods. Platform: |
Size: 102400 |
Author:到达 |
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Description: 本文介绍了子空间模型辨识的多种方法，并对其不同的方法进行了综合的分析，研究，比较。-This paper introduces the sub-space model identification of a number of ways, and different ways to carry out a comprehensive analysis, research, compare. Platform: |
Size: 375808 |
Author:张林 |
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Description: 这是压缩感知领域，一个重构算法--子空间追踪方法，此方法是基于OMP之后的改进算法。-This is a compressed sensing area, a reconstruction algorithm- subspace tracking methods, this method is based on the OMP after the improved algorithm. Platform: |
Size: 2048 |
Author:杨淑媛 |
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Description: 基于线性判别的人脸识别，本设计对主成分分析和线性判别两种子空间方法进行了深入研究，包括LDA及其在人脸识别应用的若干问题-Face recognition based on linear discriminant, the design of the principal component analysis and linear discriminant subspace methods are two in-depth study, including the LDA and its Application in Face Recognition Issues Platform: |
Size: 1024 |
Author:尘筑 |
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Description: 用MATLAB实现的对MIMO信道的估计，应用了子空间的方法。-MATLAB implementation of MIMO with channel estimation, the application of subspace methods. Platform: |
Size: 2048 |
Author:lanboyj |
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Description: 频率估计中使用的子空间方法，又称PUMA方法，是IEEE信号处理杂志刚发的文章上的算法。-Frequency estimation using subspace methods, also known as PUMA method, the IEEE Signal Processing magazine has just issued an article on the algorithm. Platform: |
Size: 2048 |
Author:李悦 |
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Description: 基于ICA的多尺度子空间方法，在图像处理上应用时一个很好的尝试。-Multiscale subspace methods based on ICA in image processing applications is a very good attempt. Platform: |
Size: 2048 |
Author:邓能辉 |
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Description: 提出了一种新的宽带DOA估计方法:频域子空间正交性测试方法(TOFS:Test of orthogonality of frequency sub- space)。该方法通过同时测试频域信号共同带宽内各频段噪声子空间与阵列流形之间的正交性来进行DOA估计。与宽带相干信号子空间方法不同,TOFS方法不需要任何初始值的预估及聚焦操作。与宽带非相干信号子空间方法也不同,TOFS方法同时测试各频段噪声子空间与阵列流形之间的正交性。本文仿真了TOFS与IMUSIC、CSSM、TOPS的性能比较。仿真结果表明TOFS方法在中等信噪比以上时有较好的性能,且避免了TOPS方法中常出现的伪峰。 -Proposed a new broadband DOA estimation methods: subspace orthogonal frequency domain test methods (TOFS: Test of orthogonality of frequency sub-space). The method by simultaneously testing the frequency domain signal bandwidth of each band noise common sub-orthogonality between space and the array manifold to be DOA estimates. And broadband coherent signal subspace different methods, TOFS method does not require any initial estimate and focusing operation values. And broadband incoherent signal subspace methods are different, TOFS method for simultaneous testing of each band orthogonal noise subspace and the array manifold between. This paper compares the performance TOFS simulation and IMUSIC, CSSM, TOPS is. Simulation results show that the method TOFS better performance when more moderate SNR and spurious peaks TOPS method avoids the often occur. Platform: |
Size: 442368 |
Author:yushuhua |
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Description: krylov子空间法 krylov子空间方法的程序实现，用于解高阶矩阵-Matlab Codes for Krylov subspace methods
1. MINRES method by Paige and Saunders implementation
function [ x, istop, itn, rnorm, Arnorm, Anorm, Acond, ynorm ] = ...
minres( A, b, M, shift, show, check, itnlim, rtol )
[ x, istop, itn, rnorm, Arnorm, Anorm, Acond, ynorm ] = ...
minres( A, b, M, shift, show, check, itnlim, rtol )
minres solves the n x n system of linear equations Ax = b
or the n x n least squares problem min ||Ax- b||_2^2,
where A is a symmetric matrix (possibly indefinite or singular)
and b is a given vector. The dimension n is defined by length(b).
INPUT:
A may be a dense or sparse matrix (preferably sparse!)
or a function handle such that y = A(x) returns the product
y = A*x for any given n-vector x.
If M = [], preconditioning is not used. Otherwise,
M defines a positive-definite preconditioner M = C*C .
M may be a dense or sparse matrix (preferably sparse!)
or a function handle such that y = M(x) solves th Platform: |
Size: 6144 |
Author:lux |
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Description: this program is used for beamforming process using capon, bartlett and subspace methods (Esprit, music, ...).
this program is used for beamforming process using capon, bartlett and subspace methods (Esprit, music, ...). Platform: |
Size: 4096 |
Author:khaled |
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Description: 基于子空间方法的联合稀疏恢复，通过MUSIC算法进行结合测试，给出了测试结果-We propose subspace-augmented
MUSIC (SA-MUSIC), which improves on MUSIC such that the
support is reliably recovered under such unfavorable conditions.
Combined with a subspace-based greedy algorithm, known as Orthogonal
Subspace Matching Pursuit, which is also proposed and
analyzed in this paper, SA-MUSIC provides a computationally
efficient algorithm with a performance guarantee. The performance
guarantees are given in terms of a version of the restricted
isometry property. In particular, we also present a non-asymptotic
perturbation analysis of the signal subspace estimation step, which
has been missing in the previous studies of MUSIC. Platform: |
Size: 1049600 |
Author:bigbigtom |
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Search - subspace methods