Title :
Ultrasonic signals parameters estimation based on differential evolution
Author :
Nabil, Yacef ; Toufik, Bouden ; Morad, Grimes
Author_Institution :
NDT Lab., Jijel Univ., Jijel, Algeria
Abstract :
Many techniques, such as parameter extraction techniques are used in ultrasonic signal processing. In this paper, the matching pursuit decomposition (MP) and differential evolution (DE) have been tested for parameters estimation, denoising and compression of ultrasonic echoes. The method is based on the MP algorithm who does the decomposition of the ultrasonic signal into elementary functions (atoms) which they make a good representation of this signal. Those elementary functions are selected from a Gabor dictionary and their parameters are estimated by differential evolution.
Keywords :
evolutionary computation; iterative methods; parameter estimation; signal processing; time-frequency analysis; Gabor dictionary; differential evolution; elementary functions; matching pursuit decomposition; ultrasonic echoes; ultrasonic signals parameters estimation; Acoustics; Dictionaries; Estimation; Matching pursuit algorithms; Noise; Signal processing algorithms; Transducers; Matching pursuit; differential evolution; parameter estimation; ultrasonic signal;
Conference_Titel :
Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
Conference_Location :
Tlemcen
DOI :
10.1109/CEIT.2015.7233119