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Báo cáo hóa học: "A Reconfigurable FPGA System for Parallel Independent Component Analysis"
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A Reconfigurable FPGA System for Parallel Independent Component Analysis | Hindawi Publishing Corporation EURASIP Journal on Embedded Systems Volume 2006 Article ID 23025 Pages 1-12 DOI 10.1155 ES 2006 23025 A Reconfigurable FPGA System for Parallel Independent Component Analysis Hongtao Du and Hairong Qi Electrical and Computer Engineering Department The University of Tennessee Knoxville TN 37996-2100 USA Received 13 December 2005 Revised 12 September 2006 Accepted 15 September 2006 Recommended for Publication by Miriam Leeser A run-time reconfigurable field programmable gate array FPGA system is presented for the implementation of the parallel independent component analysis ICA algorithm. In this work we investigate design challenges caused by the capacity constraints of single FPGA. Using the reconfigurability of FPGA we show how to manipulate the FPGA-based system and execute processes for the parallel ICA pICA algorithm. During the implementation procedure pICA is first partitioned into three temporally independent function blocks each of which is synthesized by using several ICA-related reconfigurable components RCs that are developed for reuse and retargeting purposes. All blocks are then integrated into a design and development environment for performing tasks such as FPGA optimization placement and routing. With partitioning and reconfiguration the proposed reconfigurable FPGA system overcomes the capacity constraints for the pICA implementation on embedded systems. We demonstrate the effectiveness of this implementation on real images with large throughput for dimensionality reduction in hyperspectral image HSI analysis. Copyright 2006 H. Du and H. Qi. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION In recent years independent component analysis ICA has played an important role in a variety of signal and image processing applications such as blind .