Noise effect reduction obtained by using coherence function in deconvolution

Author

Fiorentin, P.

Author_Institution

Dipt. di Ingegneria Elettrica, Padova Univ., Italy

Volume

3

fYear

2001

fDate

2001

Firstpage

1714

Abstract

The behavior of a linear system may be completely described by its impulse response, step response or frequency response. They can be theoretically calculated from time records of the input and output of the system. It is a deconvolution problem and is ill posed in particular owing to the noise present in both the measured input and output. This paper briefly describes three deconvolution methods based on optimization techniques and compares their results with those obtained by a non iterative criterion based on coherence function. An experimental application of the proposed method is also presented

Keywords

Gaussian noise; deconvolution; filtering theory; frequency response; frequency-domain analysis; inverse problems; iterative methods; linear systems; optimisation; step response; transfer functions; transient response; white noise; coherence function; deconvolution; filter characteristic; first order system; frequency response; ill posed problem; impulse response; inverse problem; iterative frequency-domain techniques; linear system; noise effect reduction; noniterative criterion; optimization techniques; smoothing factor; step response; transfer function; white Gaussian noise; Band pass filters; Deconvolution; Frequency domain analysis; Frequency estimation; Frequency response; Iterative methods; Noise level; Noise reduction; Optimization methods; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE

Conference_Location

Budapest

ISSN

1091-5281

Print_ISBN

0-7803-6646-8

Type

conf

DOI

10.1109/IMTC.2001.929494

Filename

929494