Title :
Adaptive algorithms for the frequency-domain identification of a second-order Volterra system with random input
Author :
Powers, E. ; Nam, S. ; Kim, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
The authors describe two practical digital procedures (i.e. complex RLS and LMS adaptive algorithms) for the identification of a second-order Volterra system subject to stationary (more precisely, stationary to order four) random input through the higher-order spectral analysis of the measured I/O data. Also, the validity of the nonlinear transfer function approach is demonstrated by analyzing experimental data of the surge response of a tension leg platform (TLP) to irregular sea waves.<>
Keywords :
computerised signal processing; identification; least squares approximations; spectral analysis; transfer functions; adaptive algorithms; complex LMS algorithms; complex RLS algorithms; digital signal processing; frequency-domain identification; higher-order spectral analysis; irregular sea waves; measured I/O data; nonlinear transfer function; second-order Volterra system; spectral analysis; stationary random input; surge response; tension leg platform; Adaptive algorithm; Data analysis; Frequency domain analysis; Least squares approximation; Leg; Resonance light scattering; Sea measurements; Spectral analysis; Surges; Transfer functions;
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
DOI :
10.1109/SPECT.1990.205539
