Wavelet-based data compression of power system disturbances using the minimum description length criterion

IEEE Transactions on Power Delivery

Volumn 17, Issue 2, 2002, Pages 460-466

  Hamid, Effrina Yanti ^b   Kawasaki, Zen Ichiro ^a,b  

^a IEEE

^b OSAKA UNIVERSITY   (Japan)

Author keywords

Data compression; Power disturbances; Wavelet packets; Wavelets

Indexed keywords

ELECTRIC FAULT LOCATION; ELECTRIC FILTERS; ELECTRIC POWER SYSTEM PROTECTION; SIGNAL ENCODING; SIGNAL RECONSTRUCTION; WAVELET TRANSFORMS;

DISCRETE WAVELET TRANSFORM (DWT); WAVELET PACKET TRANSFORM (WPT);

DATA COMPRESSION;

EID: 0036529644     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/61.997918     Document Type: Article

References (9)

1. Data compression for digital data from power system disturbance: Requirements and technique evaluation
2. Power quality data compression using wavelet transform methods
3. Wavelet for the analysis and compression of power system disturbances
4. Wavelet and wavelet packet compression of electrocardiograms
5. Noise suppression and signal compression using the wavelet packet transform
6. Entropy-based algorithms for best-basis selection
7. Simultaneous noise suppression and signal compression using a library of orthonormal bases and the minimum description length criterion
8. A theory for multiresolution signal decomposition: The wavelet representation
9. Adapted wavelet analysis from theory to software