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Communication Dans Un Congrès Année : 2014

SEMI-DETERMINISTIC TERNARY MATRIX FOR COMPRESSED SENSING

Résumé

For the random{0,±1}ternary matrix, it is interesting to determine the number of nonzero elements required for good compressed sensing performance. By seeking the best RIP, this paper proposes a semi-deterministic ternary matrix, which is of deterministic nonzero positions but random signs. In practice, it presents better performance than common random ternary matrices and Gaussian random matrices.
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Dates et versions

hal-01076014 , version 1 (20-10-2014)

Identifiants

  • HAL Id : hal-01076014 , version 1

Citer

Weizhi Lu, Kidiyo Kpalma, Joseph Ronsin. SEMI-DETERMINISTIC TERNARY MATRIX FOR COMPRESSED SENSING. 22nd European Signal Processing Conference (EUSIPCO 2014), European Association for Signal Processing (EURASIP), Sep 2014, Lisboa, Portugal. ⟨hal-01076014⟩
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