By Topic

A study of numerical linear algebra library in the context of adaptive array beamforming

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
$33 $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

3 Author(s)
V. P. Sreekanth ; Naval Physical & Oceanographic Laboratory, Kochi-682 021, India ; Sooraj K. Ambat ; V. P. Felix

Sonar system is an embodiment of sensor signal processing, designed to extract information from the real world, which shares much embedded computing application. The complexity of the most modern computing platforms has made it extremely difficult to write numerical code that achieves the best possible performance. In this paper, we discuss Intel Math Kernel Library (MKL) as a mathematical software package for scientific and technical computation for ease of use in Intel-architecture based COTS (commercial off- the-shelf) systems that can vary greatly. Here we discuss how the advances in computing platform can advantage the sonar signal processing system. We have taken adaptive beamforming as the case study for the comparison of improvements from direct implementation to implementation using linear algebra library for COTS systems.

Published in:

2009 International Symposium on Ocean Electronics (SYMPOL 2009)

Date of Conference:

18-20 Nov. 2009