Title :
Vibration signals compression with Time-Frequency Adaptive Quantization
Author :
Oltean, Marius ; Picheral, José ; Lahalle, Elisabeth ; Hamdan, Hani
Author_Institution :
Dept. of Signals & Electron. Syst., Univ. Politeh. of Timisoara, Gif-sur-Yvette, France
Abstract :
A novel quantization method, well suited to the case of vibration signal compression is introduced in this paper. This method, applied in the domain of the Discrete Cosine Transform, is called Time-Frequency Adaptive Quantization (TFAQ) and it efficiently allocates the coding bits based on the time-frequency properties of the vibration signals. The method is compared to other transform-based compression techniques. Experiments are carried on a rich database of vibration signals, issued by the plane engines, in various stages of the flight. The results prove the superiority of TFAQ versus the other tested methods, for the experimental data set we dispose on.
Keywords :
discrete cosine transforms; encoding; mechanical engineering computing; signal processing; vibrations; TFAQ; coding bits; discrete cosine transform; mechanical vibrations; time-frequency adaptive quantization; transform-based compression techniques; vibration signals compression; Indexes;
Conference_Titel :
Intelligent Signal Processing (WISP), 2011 IEEE 7th International Symposium on
Conference_Location :
Floriana
Print_ISBN :
978-1-4577-1403-0
DOI :
10.1109/WISP.2011.6051693