Title :
Complex system modeling using a complex delay filter
Author :
Jiang, Jean ; Etter, Delores M.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
Abstract :
The adaptive delay filter is generalized to include complex coefficients with a complex input signal for complex system modeling. Based on the error surface analysis, two new algorithms to determine the determinant terms of an unknown complex system have been developed and successfully applied to identify complex FIR models. The techniques are especially effective for modeling sparse systems
Keywords :
adaptive filters; digital filters; filtering and prediction theory; signal processing; FIR models; adaptive delay filter; complex coefficients; complex input signal; complex system modeling; error surface analysis; sparse systems; Adaptive filters; Added delay; Algorithm design and analysis; Autocorrelation; Computer errors; Delay effects; Error analysis; Finite impulse response filter; Modeling; White noise;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269268
