文件名称:Low-Coherence-Sensing-Matrices
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- 2016-03-24
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A method for constructing low coherence sensing
matrices based on best spherical codes is proposed. Such matrices
are applied in Compressed Sensing (CS) to obtain measurements
of a sparse vector. With the means of CS, it is possible to
reconstruct the sparse vector a small number of measurements.-A method for constructing low coherence sensing
matrices based on best spherical codes is proposed. Such matrices
are applied in Compressed Sensing (CS) to obtain measurements
of a sparse vector. With the means of CS, it is possible to
reconstruct the sparse vector a small number of measurements.
matrices based on best spherical codes is proposed. Such matrices
are applied in Compressed Sensing (CS) to obtain measurements
of a sparse vector. With the means of CS, it is possible to
reconstruct the sparse vector a small number of measurements.-A method for constructing low coherence sensing
matrices based on best spherical codes is proposed. Such matrices
are applied in Compressed Sensing (CS) to obtain measurements
of a sparse vector. With the means of CS, it is possible to
reconstruct the sparse vector a small number of measurements.
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Low Coherence Sensing Matrices.pdf