Title :
A new cumulant based inverse filtering algorithm for identification and deconvolution of nonminimum-phase systems
Author :
Chi, Chong-Yung ; Kung, Jung-Yuan
Author_Institution :
Dept. of Electr. Eng., National Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
This paper proposes a new filtering algorithm for linear time-invariant systems with only non-Gaussian output measurements contaminated by Gaussian noise. Some simulation results demonstrate that the algorithm works well
Keywords :
filtering and prediction theory; identification; inverse problems; random noise; signal processing; statistical analysis; Gaussian noise; cumulant based inverse filtering algorithm; deconvolution; higher-order statistics; identification; linear time-invariant systems; nonminimum-phase systems; simulation; Convolution; Deconvolution; Electric variables measurement; Filtering algorithms; Finite impulse response filter; Gaussian noise; Higher order statistics; Noise measurement; Pollution measurement; Signal processing;
Conference_Titel :
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0508-6
DOI :
10.1109/SSAP.1992.246828
