Lifting based compression algorithm for power system signals

• Autorzy: Duda K.
• Języki publikacji: EN

Abstrakty

EN

The paper concerns the problem of power system signals compression with possible application in system monitoring and control. The proposed compression algorithm for power system signals ensures efficient use of available storage memory or communication channel bandwidth. It is shown that while preserving good quality, compression ratios from 20 in case of highly distorted waveforms to 340 for slightly distorted sinusoidal waves can be achieved. The presented results were evaluated with a specially prepared representative database of field-recorded electric signals. For signal decorrelation lifting implementation of wavelet transform in the compression algorithm was used. The influence of sampling frequency, length of data frame, type of wavelet function, number of wavelet decomposition stages and quantization level on the compression ratio and compression quality was investigated.

Słowa kluczowe

EN

lifting wavelet transform; signal compression; power system monitoring

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2008
• Tom: Vol. 15, nr 1
• Strony: 69--83
• Opis fizyczny: Bibliogr. 23 poz., rys., wykr.

Twórcy

autor

Duda K.

• AGH University of Science and Technology, Measurement & Instrumentation Department, Kraków, Poland,

Bibliografia

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• 11. Duda K., Turcza P., Zieliński T. P.: “Lossless ECG Compression with Lifting Wavelet Transform”. IEEE Instrumentation and Measurement Technology Conference, Budapest, Hungary, May 21-23, 2001.
• 12. Duda K.: “Lossless ECG Compression with Adaptive Lifting Wavelet Transform”, International Workshop on Spectral Methods and Multirate Signal Proc. 16.06.2001 - 18.06.2001 Pula, Croatia.
• 13. Duda K.: “Lossless ECG Compression with SPIHT”, International Conference on Signals and Electronic Systems 2001, Łódź, 18-21 September 2001, pp.187-192.
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• 20. Duda K.: “Computing interpolating predictors without boundary effect for wavelet lifting transform”, ICSES’2000 - International Conference on Signals and Electronic Systems, 17-20 October 2000, Ustroń, Poland.
• 21. Zieliński T. P., Stępień J., Duda K.: “Filter design for adaptive lifting schemas”, X European Signal Processing Conference, 4-8 September 2000, Tampere, Finland.
• 22. Duda K.: “Integer Fast Fourier Transform - Implementation and application”, EUSIPCO 2004, XII European Signal Processing Conference, 6-10 September 2004, Vienna, Austria.
• 23. Duda K, Bień A.: “Digital measurement of transient disturbances in electric power network with analog integration - experimental research”, PAK 10 bis, pp. 143-146, XVI MiSSP: Krynica, 17-21 Sept. 2006. (in Polish).