Title :
A design for variable fractional delay FIR filters
Author :
Li, Xiaodong ; Zhao, Hui ; Li, Mingyu ; Yu, Juebang
Author_Institution :
Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
The paper proposes a neural network method to design variable fractional delay finite impulse response filters. This design is achieved by choosing a continuous Hopfield neural network (CHNN) model and establishing the relation between the MSE criterion and the Lyapunov energy function. In an illustrative design example, the proposed method has improved the filter performance with slightly increased computation cost, as compared with a weighted least-squares design method.
Keywords :
FIR filters; Hopfield neural nets; Lyapunov methods; delay filters; digital filters; filtering theory; signal processing; Lyapunov energy function; MSE criterion; computation cost; continuous Hopfield neural network; digital filters; finite impulse response filters; signal processing; variable fractional delay FIR filters; variable fractional delay filters; weighted least-squares design method; Delay effects; Delay estimation; Design methodology; Digital filters; Finite impulse response filter; Frequency response; Function approximation; Hopfield neural networks; Neural networks; Transfer functions;
Conference_Titel :
Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on
Print_ISBN :
0-7803-8647-7
DOI :
10.1109/ICCCAS.2004.1346375
