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Volumn 15, Issue 3, 2005, Pages 317-327

Hyper-trim shrinkage for denoising of ECG signal

Author keywords

Firm shrinkage; Hyper trim shrinkage; Non negative garrote shrinkage; Shrinkage function; Wavelet transform; Trimmed filter

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER SIMULATION; ELECTROCARDIOGRAPHY; GAUSSIAN NOISE (ELECTRONIC); MATHEMATICAL MODELS; SHRINKAGE;

EID: 16644394326     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2004.12.005     Document Type: Conference Paper
Times cited : (53)

References (11)
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    • H.-Y. Gao Wavelet shrinkage denoising using the non-negative garrote J. Comput. Graph. Statist. 7 4 1998 469 488
    • (1998) J. Comput. Graph. Statist. , vol.7 , Issue.4 , pp. 469-488
    • Gao, H.-Y.1
  • 5
    • 0032187852 scopus 로고    scopus 로고
    • Adaptive denoising based on SURE risk
    • X.P. Zhang, and M. Desai Adaptive denoising based on SURE risk IEEE SPL 5 10 1998 265 267
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    • Zhang, X.P.1    Desai, M.2
  • 6
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    • WaveShrink with firm shrinkage
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    • Bruce, A.G.1    Gao, H.-Y.2
  • 7
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    • Some statistical properties of α-trimmed mean and standard type M filters
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    • (1998) IEEE Trans. ASSP , vol.36 , Issue.5 , pp. 707-713
    • Peterson, S.R.1    Lee, Y.H.2    Kassan, S.A.3
  • 10
    • 0037260493 scopus 로고    scopus 로고
    • A wavelet coefficient smoothened RLS-adaptive denoising model for ECG
    • S. Poornachandra, and N. Kumaravel A wavelet coefficient smoothened RLS-adaptive denoising model for ECG Biomed. Sci. Instrum. 437 2003 154 157
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    • Poornachandra, S.1    Kumaravel, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.