Title :
Fundamental study on periodically time-varying state-space digital filters-statistical analysis, scaling and stability
Author :
Kawamata, Masayuki ; Yang, Xuedong ; Higuchi, Tatsuo
Author_Institution :
Dept. of Electron Eng., Tohoku Univ., Sendai, Japan
Abstract :
The authors discuss the statistical analysis, scaling, and stability of periodically time-varying (PTV) state-space digital filters. They investigate the variance of state and output to a white Gaussian input in a statistical analysis, evaluate the periodical transformation matrices T(i) for l2 scaling, and discuss the bounded-input bounded-output and asymptotic stability. To make statistical analysis easy, they transform PTV digital filters to multi-input multi-output (MIMO) time-invariant digital filters because statistical analysis of the time-invariant digital filters is given easily
Keywords :
digital filters; stability; state-space methods; statistical analysis; MIMO filters; asymptotic stability; bounded-input bounded-output; periodical transformation matrices; periodically time-varying state-space digital filters; scaling; statistical analysis; Analysis of variance; Asymptotic stability; Digital filters; Digital integrated circuits; Frequency; MIMO; Speech processing; Stability analysis; Statistical analysis; TV;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236885
