Benha University

Hatem Mohamed Mohamed Zakaria Radwan

Asst. Professor

Faculty of Engineering, Benha Electrical Engineering

FPGA Implementation of Lempel-Ziv data Compression

International Journal of Reconfigurable and Embedded Systems (IJRES) • 2021
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Publication Information
Authors Gehad Mohey, , Abdelahalim Abdelnaby Zekry and Hatem M. Zakaria
Keywords Not Available
Journal International Journal of Reconfigurable and Embedded Systems (IJRES)
Publisher Not Available
Volume 10
Issue 2
Pages 99-108
publication.type Local
Paper Link Open Link
Supplementary Materials Not Available
Abstract
When transmitting the data in digital communication, it is well desired that the transmitting data bits should be as minimal as possible, so many techniques are used to compress the data. In this paper, a Lempel-Ziv algorithm for data compression was implemented through VHDL coding. One of the most lossless data compression algorithms commonly used is Lempel-Ziv. The work in this paper is devoted to improve the compression rate, space-saving, and utilization of the Lempel-Ziv algorithm using a systolic array approach. The developed design is validated with VHDL simulations using Xilinx ISE 14.5 and synthesized on Virtex-6 FPGA chip. The results show that our design is efficient in providing high compression rates and space-saving percentage as well as improved utilization. The Throughput is increased by 50% and the design area is decreased by more than 23% with a high compression ratio compared to comparable previous designs.
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