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An Application of Wavelet Transforms and Neural Networks for Decomposition of Millimeter-Wave Spectr - Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21.pdf

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An Application of Wavelet Transforms and Neural Networks for Decomposition of Millimeter-Wave Spectr - Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21.pdf

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An Application of Wavelet Transforms and Neural Networks for Decomposition of Millimeter-Wave Spectr - Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21.pdf

文档介绍

文档介绍:An Application of Wavelet Transforms and works for
position of MillimeterWave Spectroscopic Signals*
K. Gopalan', , S. Bakhtiari2 and . Raptis2
'Department of Engineering Energy Technology Division
Purdue University Calumet Argonne National Laboratory
Hammond, IN 46323 Argonne, IL 60439
Abstract - This paper reports on wavelet-based position 11. ACQUISITION OF EXPERIMENTAL SPECTRA
methods and works for remote monitoring of
airborne chemicals using millimeter-wave spectroscopy. The experimental setup used at Argonne for acquiring mm-
Because of instrumentation noise and the presence of untargeted wave spectroscopic data employs an active mm-wave source
chemicals, direct position of the spectra requires a large with a capability for sweeping the frequency in two ranges of
number of data to train a work and yields low
accuracy. We have demonstrated that a work trained 225-270 GHz and 270-315 GHz [2]. Via waveguides and an
with features obtained from a discrete wavelet transform antenna the mm-wave signal is transmitted into one end of a
provides better position with faster training time. Results gas cell containing the chemical mixture to be posed.
based on synthesized and experimental spectra are presented to The transmitted signal available at the other end of the gas
show the efficacy of the wavelet-based methods. c