Title :
Genetic construction of wavelet filter banks for optimal denoising of ultrasonic signals
Author :
Shark, Lik-Kwan ; Yu, Chu
Author_Institution :
Univ. of Central Lancashire, Preston, UK
Abstract :
This paper presents a novel method for constructing special wavelet filter banks for optimal denoising of ultrasonic signals. It includes parameterisation of filter bank coefficients, design of the objective functions, and optimisation using the genetic algorithm. Using computer simulated ultrasonic signals, the performance of the wavelet filter banks constructed is compared with the classical wavelet filter banks to demonstrate its optimality.
Keywords :
acoustic filters; acoustic signal processing; filtering theory; genetic algorithms; wavelet transforms; computer simulated ultrasonic signals; filter bank coefficients; genetic construction; objective functions; optimal denoising; optimisation; parameterisation; wavelet filter banks; Algorithm design and analysis; Biological cells; Channel bank filters; Computational modeling; Constraint optimization; Design optimization; Filter bank; Genetic algorithms; Noise reduction; Polynomials;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1181025
