Hatem Mohamed Mohamed Zakaria Radwan
Asst. Professor
Design and Implementation of Lempel-Ziv Data Compression using FPGA
International Journal of Computer Applications (IJCA) • 2021
Publication Information
Authors
Gehad Mohey, Abdelahalim Abdelnaby Zekry and Hatem M. Zakaria
Keywords
Not Available
Journal
International Journal of Computer Applications (IJCA)
Publisher
Not Available
Volume
174
Issue
12
Pages
38-45
publication.type
International
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. The Lempel-Ziv algorithm is one of the most widely used among lossless data compression algorithms for hardware implementation. 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 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.
