Enhancement and Identification of The Ultrasonic Echoes
Solit, E., Abid, S., Farouk, M. (1999). Enhancement and Identification of The Ultrasonic Echoes. EKB Journal Management System, 2(2nd International Conference on Electrical Engineering ICEENG 1999), 177-188. doi: 10.21608/iceeng.1999.62315
E. A. Solit; S. M. Abid; M. Farouk. "Enhancement and Identification of The Ultrasonic Echoes". EKB Journal Management System, 2, 2nd International Conference on Electrical Engineering ICEENG 1999, 1999, 177-188. doi: 10.21608/iceeng.1999.62315
Solit, E., Abid, S., Farouk, M. (1999). 'Enhancement and Identification of The Ultrasonic Echoes', EKB Journal Management System, 2(2nd International Conference on Electrical Engineering ICEENG 1999), pp. 177-188. doi: 10.21608/iceeng.1999.62315
Solit, E., Abid, S., Farouk, M. Enhancement and Identification of The Ultrasonic Echoes. EKB Journal Management System, 1999; 2(2nd International Conference on Electrical Engineering ICEENG 1999): 177-188. doi: 10.21608/iceeng.1999.62315

Enhancement and Identification of The Ultrasonic Echoes

The International Conference on Electrical Engineering
Article 21, Volume 2, 2nd International Conference on Electrical Engineering ICEENG 1999, November 1999, Page 177-188  XML PDF (1.4 MB)
Document Type: Original Article
DOI: 10.21608/iceeng.1999.62315
View on SCiNiTO View on SCiNiTO
Authors
E. A. Solit1; S. M. Abid1; M. Farouk2
1(Ph.D.)., The Military Technical College.
2(Eng.), The Military Technical College.
Abstract
Adaptive filtering technique has been applied for enhancing and detecting ultrasonic echo signals that are corrupted with noise signals and un-desirable signals. This paper is concerned with enhancing the reflected ultrasonic echoes that are combined with the environmental noise. The adaptive filter is augmented to match the transmission path of the ultrasonic signals and generates a good estimate of the cleaned reflected signal based on minimizing a mean square error criterion. The weight coefficients are updated using the well known LMS adaptation algorithm. The proposed scheme is evaluated by computer simulations.
Keywords
Adaptive filtering; Ultrasonic signals; Environmental noise
Statistics
Article View: 140
PDF Download: 174