ECG SIGNAL CODING USING BIORTHOGONAL WAVELET-BASED BURROWS–WHEELER CODER
DOI10.1142/S0219691311004079zbMath1242.94009OpenAlexW2032479851MaRDI QIDQ3007753
R. Shantha Selva Kumari, V. Sadasivam, R. Prabha
Publication date: 17 June 2011
Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0219691311004079
biorthogonal waveletsECG signalcompression ratioBurrows-Wheeler coderMIT-BIH arrhythmia databasepercent root mean square difference
Biomedical imaging and signal processing (92C55) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60)
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Cites Work
- A novel algorithm for wavelet based ECG signal coding
- A theory for multiresolution signal decomposition: the wavelet representation
- DESIGN AND EVALUATION OF MATCHED WAVELETS WITH MAXIMUM CODING GAIN AND MINIMUM APPROXIMATION ERROR CRITERIA FOR R PEAK DETECTION IN ECG
- DISCRETE WAVELET TRANSFORM APPLIED ON PERSONAL IDENTITY VERIFICATION WITH ECG SIGNAL
- Energy Packing Efficiency for the Generalized Discrete Transforms
- AN OPTIMIZATION ALGORITHM FOR BIORTHOGONAL WAVELET FILTER BANKS DESIGN
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