Title :
On identifying Volterra transfer functions of cubically nonlinear systems using minimally sampled data
Author :
Tseng, Ching- Hsiang
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
Abstract :
A practical method for identifying cubically nonlinear systems is presented in this paper. This method identifies the system by using the higher-order spectra of the system input and output. Compared to the conventional method, which requires the system output to be sampled at six times the bandwidth of the input, the proposed method only requires the system output to be sampled at twice the bandwidth of the system input. This greatly reduces the required computation and processing speed of the circuits. The advantage of the proposed method over the conventional one is demonstrated via computer simulation
Keywords :
Volterra series; higher order statistics; identification; nonlinear systems; signal sampling; spectral analysis; transfer functions; Volterra transfer functions; bandwidth; computation; cubically nonlinear systems; higher-order spectra; minimally sampled data; output; processing speed; system input; Bandwidth; Circuits; Discrete Fourier transforms; Ear; Frequency; Linear systems; Nonlinear systems; Oceans; Sampling methods; Transfer functions;
Conference_Titel :
Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
Conference_Location :
Banff, Alta.
Print_ISBN :
0-8186-8005-9
DOI :
10.1109/HOST.1997.613504
