A high performance hybrid parallel algorithm for fast calculation of 3-D convolution/correlation using the 3-D VR FHT for multi-dimensional signal processing applications
by Said Boussakta, Mohamed Aziz
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 3, No. 1, 2005

Abstract: In this paper, a fast and efficient 3-D digital filtering method based on the combination of a 3-D hybrid parallel filtering algorithm and the 3-D vector radix fast Hartley transform (3-D VR FHT) is presented. This algorithm is suitable for high resolution/high speed multi-dimensional signal and image processing. The 3-D hybrid parallel algorithm is highly parallel and efficient, as it overcomes the computations overhead and performance limitations associated with the block filtering method by eliminating the overlapping blocks and boundary conditions in parallel filtering applications. It also lifts the restrictions on the input size for high performance, as both the 3-D input data and impulse response of the system are segmented into smaller sub-sections. These sub-sections are independent and can be simultaneously processed. The algorithm's structure and mathematical derivation are given and the performance of the algorithm is tested and presented using a real multi-processor parallel system with 4-DSPs.

Online publication date: Wed, 28-Sep-2005

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of High Performance Computing and Networking (IJHPCN):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com