RKHS approach for signal detection in rotation and scale space random fields

DOI

10.2991/jsta.2016.15.3.2How to use a DOI?

Keywords

Scale space random fields, rotation space random fields, reproducing kernel Hilbert space, likelihood ratio statistic.

Abstract

Two important papers of Worsley, Siegmund and coworkers consider rotation and scale space random fields for detecting signals in fMRI (functional magnetic resonance imaging) brain images. They use the global maxima of images for detection of a signal. In the current work, we utilize a reproducing kernel Hilbert space (RKHS) approach to show for both rotation and scale space random fields the global maximum of the image is indeed the likelihood ratio test statistic.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - JOUR
AU  - K. Shafie
AU  - Akbar Abravesh
PY  - 2016
DA  - 2016/09/01
TI  - RKHS approach for signal detection in rotation and scale space random fields
JO  - Journal of Statistical Theory and Applications
SP  - 214
EP  - 220
VL  - 15
IS  - 3
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2016.15.3.2
DO  - 10.2991/jsta.2016.15.3.2
ID  - Shafie2016
ER  -