DocumentCode :
697927
Title :
Reduction of l2-sensitivity for three-dimensional separable-denominator digital filters
Author :
Hinamoto, Takao ; Tanaka, Osamu ; Nakamoto, Masayoshi ; Wu-Sheng Lu
Author_Institution :
Grad. Sch. of Eng., Hiroshima Univ., Higashi-Hiroshima, Japan
fYear :
2009
fDate :
24-28 Aug. 2009
Firstpage :
243
Lastpage :
247
Abstract :
The problem of reducing the deviation from a desired transfer function caused by the coefficient quantization errors is investigated for a three-dimensional (3-D) separable in denominator digital filter. To begin with, a 3-D transfer function with separable denominator is represented with the cascade connection of three one-dimensional (1-D) transfer functions by applying a minimal decomposition technique, and the multi-input multi-output (MIMO) 1-D transfer function located in the middle of the cascade connection is realized by a minimal state-space model. Next, the l2-sensitivity of the state-space model is analyzed, and the minimization problem of the l2-sensitivity subject to l2-scaling constraints is formulated. This problem is then converted into an unconstrained optimization problem by using linear-algebraic techniques, and an efficient quasi-Newton algorithm is applied to solve it. A numerical example is presented to illustrate the validity and effectiveness of the proposed technique.
Keywords :
Newton method; digital filters; linear algebra; optimisation; 3D separable-denominator digital filters; L2-sensitivity reduction; MIMO; coefficient quantization errors; linear-algebraic techniques; minimal decomposition technique; minimal state-space model; multi-input multi-output 1-D transfer function; quasi-Newton algorithm; unconstrained optimization problem; Minimization; Optimization; Sensitivity; Signal processing; State-space methods; Transfer functions; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2009 17th European
Conference_Location :
Glasgow
Print_ISBN :
978-161-7388-76-7
Type :
conf
Filename :
7077499
Link To Document :
بازگشت