Comparative Analysis of Lossy Transformation Algorithms for Measurement Signal Compression Based on Limiting Error

Wacław Gawędzki

Abstract

The comparative analysis of lossy transformation compression algorithms for measurement signals is presented in the paper. A limiting error criterion and testing signals of synthetic character were proposed for comparing the compression algorithms. The application of such algorithms to test the lossy compression algorithms makes the results obtained in such a way independent of the shape of a single signal and makes them valid for the whole class of measurement signals while the determined limiting errors assume the character of maximum errors. By varying the parameters of the synthetic signals the operation of algorithms can be tested within certain intervals of signal parameter variability, not for single values of these parameters as it occurs for real measurement signals. The DCT, DST, DFT, DWHT, and DWH transformation algorithms were compared for various transformation orders and the classes of signals with single limit (variability range) or two limits (variability range and signal variability rate).

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IMEKO-TC4-2005-027.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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