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Volumn , Issue , 2010, Pages 41-44

Compressive sampling of ECG bio-signals: Quantization noise and sparsity considerations

Author keywords

[No Author keywords available]

Indexed keywords

BIOSIGNALS; COMPRESSED SENSING; COMPRESSION FACTOR; COMPRESSION RATIOS; COMPRESSIVE SAMPLING; ECG SIGNALS; ELECTROCARDIOGRAM SIGNAL; ENERGY CONSUMPTION; GAUSSIANS; MEASUREMENT MATRIX; NYQUIST; QUANTIZATION NOISE; RANDOM COEFFICIENTS; RANDOM VALUES; SIGNAL-TO-QUANTIZATION-NOISE RATIO; SPARSE SIGNALS; TIME DOMAIN;

EID: 79952397017     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIOCAS.2010.5709566     Document Type: Conference Paper
Times cited : (30)

References (8)
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  • 2
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    • Candès, E.1
  • 3
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    • Adaptive asynchronous analog-to-digital conversion for compressed biomedical sensing
    • R. Agarwal, et al., "Adaptive asynchronous analog-to-digital conversion for compressed biomedical sensing," IEEE Biomedical Circuits and Systems Conf., 2009, pp. 69-72.
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    • Agarwal, R.1
  • 4
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    • R.F. Yazicioglu, et al., "A 30μ W analog signal processor ASIC for biomedical signal monitoring," IEEE Int. Solid-State Circuits Conf., 2010, pp. 124-125.
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    • Yazicioglu, R.F.1
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    • Candès, E.1
  • 7
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    • Goldberger, A.1
  • 8
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    • Computational methods for sparse solution of linear inverse problems
    • June
    • J.A. Tropp and S.J. Wright, "Computational methods for sparse solution of linear inverse problems," Proc. of the IEEE, vol. 98, pp. 948-958, June 2010
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.