数据压缩采用香农-范诺算法,由VHDL实现

Mahesh Vaidya, Ekjot Singh Walia, Aditya Gupta
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引用次数: 9

摘要

在数字通信中,在传输数据时,希望传输的数据位尽可能少,因此有几种压缩数据的技术。本文通过VHDL编码实现了一种用于数据压缩的香农-范诺算法。使用VHDL实现,我们可以很容易地观察到在传输过程中我们可以节省多少位或压缩多少数据,我们也可以看到传输数据的相应符号的编码。在数据压缩方面采用了香农-范诺算法,该算法也应用于zip文件或。rar格式的内爆压缩方法中。为了在VHDL中实现该算法,我们使用ModelSim SE 6.4模拟器,并使用Quartus-II工具合成这些代码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data compression using Shannon-fano algorithm implemented by VHDL
In digital communication while transmit the data it is well desire that the transmitting data bits should be as minimum as possible, so to compress the data there are several technique used. In this paper we have implemented a Shannon-fano algorithm for data compression through VHDL coding. Using VHDL implementation we can easily observe that how many bits we can save or how much data gets compressed during transmission, and we can also see the encoding of the respective symbol of transmit data. In the field of data compression the Shannon-fano algorithm is used, this algorithm is also used in an implode compression method which are used in zip file or .rar format. To implement this algorithm in VHDL we use ModelSim SE 6.4 simulators and to synthesize these code Quartus-II tool has been used.
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