Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). We apologize for the inconvenience.
By Topic

Research on the Algorithm of Object Recognition of Ship noise Based on Auditory Feature and Pattern-matching

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)

In this paper, an object recognition algorithm of ship noise is presented combined a new kind of information processing technology with pattern matching. The procedure of processing acoustic signal of human being's hearing is imitated to extract the auditory correlation spectrum (ARS) as feature in the algorithm. Then, a novel feature named as summation of auditory correlation spectrum (SARS) is defined. Consequently the simulation on the presented algorithm and that based on power spectrum and based on neural network is carried out. The results illustrate that the given algorithm is effective and efficient

Published in:

Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on

Date of Conference:

12-15 Dec. 2006