Wavelet techniques in the compression of process data

Author

Watson, Matthew J. ; Liakopoulos, Antonios ; Brzakovic, Dragana ; Georgakis, Christos

Author_Institution

Chem. Process Modeling & Control Res. Center, Lehigh Univ., Bethlehem, PA, USA

Volume

2

fYear

1995

fDate

21-23 Jun 1995

Firstpage

1265

Abstract

The objective of this paper is to explore the application of wavelets to the field of data compression in the process industry. The wavelet transform is compared with the discrete Fourier and cosine transforms. To examine a complete approach to data compression, quantization techniques are applied to the transformed coefficients. Different quantiser designs are used for the compression of data from an industrial distillation column. Comparisons are made with the Box-Car and backward-slope methods currently used in the process industries

Keywords

data compression; distillation; process control; quantisation (signal); wavelet transforms; Box-Car method; backward-slope method; cosine transforms; discrete Fourier transform; industrial distillation column; process data compression; quantization techniques; wavelet transform; Chemical industry; Chemical processes; Data compression; Discrete Fourier transforms; Discrete wavelet transforms; Fourier transforms; Frequency; Industrial control; Process control; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, Proceedings of the 1995

Conference_Location

Seattle, WA

Print_ISBN

0-7803-2445-5

Type

conf

DOI

10.1109/ACC.1995.520953

Filename

520953