Title :
Noise effect reduction obtained by using coherence function in deconvolution
Author_Institution :
Dipt. di Ingegneria Elettrica, Padova Univ., Italy
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE
Conference_Location :
Budapest
Print_ISBN :
0-7803-6646-8
DOI :
10.1109/IMTC.2001.929494
