báo cáo hóa học:" Research Article Very Low-Memory Wavelet Compression Architecture Using Strip-Based Processing for Implementation in Wireless Sensor Networks"

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: Research Article Very Low-Memory Wavelet Compression Architecture Using Strip-Based Processing for Implementation in Wireless Sensor Networks | Hindawi Publishing Corporation EURASIP Journal on Embedded Systems Volume 2009 Article ID 479281 16 pages doi 2009 479281 Research Article Very Low-Memory Wavelet Compression Architecture Using Strip-Based Processing for Implementation in Wireless Sensor Networks Li Wern Chew Wai Chong Chia Li-minn Ang and Kah Phooi Seng Department of Electrical and Electronic Engineering The University of Nottingham 43500 Selangor Malaysia Correspondence should be addressed to Li Wern Chew eyx6clw@ Received 4 March 2009 Accepted 9 September 2009 Recommended by Bertrand Granado This paper presents a very low-memory wavelet compression architecture for implementation in severely constrained hardware environments such as wireless sensor networks WSNs . The approach employs a strip-based processing technique where an image is partitioned into strips and each strip is encoded separately. To further reduce the memory requirements the wavelet compression uses a modified set-partitioning in hierarchical trees SPIHT algorithm based on a degree-0 zerotree coding scheme to give high compression performance without the need for adaptive arithmetic coding which would require additional storage for multiple coding tables. A new one-dimension 1D addressing method is proposed to store the wavelet coefficients into the strip buffer for ease of coding. A softcore microprocessor-based hardware implementation on a field programmable gate array FPGA is presented for verifying the strip-based wavelet compression architecture and software simulations are presented to verify the performance of the degree-0 zerotree coding scheme. Copyright 2009 Li Wern Chew et al. 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 The capability of having multiple sensing devices to communicate over a wireless channel and .

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