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Sparse Solution of Underdetermined Linear Equations by Stagewise Orthogonal Matching Pursuit
compressed sensing decoding error-correcting codes
2015/8/21
Finding the sparsest solution to underdetermined systems of linear equations y = Φx is NP-hard
in general. We show here that for systems with ‘typical’/‘random’ Φ, a good approximation to the
sparse...
FEATURE EXTRACTION OF HYPERSPECTRAL IMAGES USING MATCHING PURSUIT
Hyper-Spectral Sensing Wavelet Transform Matching Pursuit Feature Extraction Classification
2015/7/30
Hyperspectral images contain rich and fine spectral information, an improvement of land use/cover classification accuracy is
expected from the use of such images. However, the classification methods...
Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results
Orthogonal Matching Pursuit Noisy and Missing Data High Dimensional Results Statistics Theory
2012/6/21
Many models for sparse regression typically assume that the covariates are known completely, and without noise. Particularly in high-dimensional applications, this is often not the case. This paper de...
基于FFT-Matching Pursuit的心电身份识别算法研究
心电 生物识别 匹配追踪 辨识
2014/4/22
本文研究了心电信号在身份识别中的应用，提出了基于快速傅里叶变换的匹配追踪心电特征提取算法。在预处理阶段，对心电信号进行消噪、标准化和质量检测等预处理，有效去除了心电信号中的噪声和心率变异所带来的干扰。特征提取阶段，对心电模板进行基于快速傅里叶变换的匹配追踪稀疏分解，原子的时频参数和投影值作为特征参数，然后构建支持向量机分类器，实现了身份识别。最后利用MIT-BIH的ST Change、PTB、QT...
A* Orthogonal Matching Pursuit: Best-First Search for Compressed Sensing Signal Recovery
compressed sensing best-first search A* search matching pursuit sparse representations sparse signal
2010/11/29
Compressed sensing is a recently developing area which is interested in reconstruction of sparse signals acquired in reduced dimensions. Acquiring the data with a small number of samples makes the rec...