M-ABRC (Adaptive Binary Range Coder) using Virtual Sliding Window technique and its VLSI implementation
Arithmetic coding is the data compression techniques, which encodes the data by generating the code string that represents a functional value between 0 and 1. In this paper, we propose a modified-Adaptive Binary-RC (Range Coder) or M-ABRC. Our algorithm minimizes the multiplication bit capacity thro...
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| Vydáno v: | Microprocessors and microsystems Ročník 71; s. 102901 |
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Elsevier B.V
01.11.2019
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| ISSN: | 0141-9331 |
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| Abstract | Arithmetic coding is the data compression techniques, which encodes the data by generating the code string that represents a functional value between 0 and 1. In this paper, we propose a modified-Adaptive Binary-RC (Range Coder) or M-ABRC. Our algorithm minimizes the multiplication bit capacity through introducing the VLSI architecture, proposed algorithm uses the LUP (Look UP Table)-VSW (Virtual Sliding Window) for the probability estimation. In order to achieve the higher compression rate, our method M-ABRC has been implemented, this in terms provides the better adoption probability in encoding phase and also gives the absolute estimation of low-EBS(entropy binary sources). Moreover In order to evaluate the algorithm we have compared with the several existing technique, comparison takes place based on the two parameter i.e. device utilization and the power dissipation (static and dynamic). |
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| AbstractList | Arithmetic coding is the data compression techniques, which encodes the data by generating the code string that represents a functional value between 0 and 1. In this paper, we propose a modified-Adaptive Binary-RC (Range Coder) or M-ABRC. Our algorithm minimizes the multiplication bit capacity through introducing the VLSI architecture, proposed algorithm uses the LUP (Look UP Table)-VSW (Virtual Sliding Window) for the probability estimation. In order to achieve the higher compression rate, our method M-ABRC has been implemented, this in terms provides the better adoption probability in encoding phase and also gives the absolute estimation of low-EBS(entropy binary sources). Moreover In order to evaluate the algorithm we have compared with the several existing technique, comparison takes place based on the two parameter i.e. device utilization and the power dissipation (static and dynamic). |
| ArticleNumber | 102901 |
| Author | Mrudula, S.T. Srinivasa Murthy, K.E. Giri Prasad, M.N. |
| Author_xml | – sequence: 1 givenname: S.T. surname: Mrudula fullname: Mrudula, S.T. email: stmrudula.jntu@gmail.com organization: Department of ECE, JNTUA, Ananthapuramu, AP, India – sequence: 2 givenname: K.E. surname: Srinivasa Murthy fullname: Srinivasa Murthy, K.E. email: hod.ece@gpcet.ac.in organization: Department of ECE, G. Pullaiah College of Engineering and Technology, Kurnool, AP, India – sequence: 3 givenname: M.N. surname: Giri Prasad fullname: Giri Prasad, M.N. email: giriprasadmn.ece@jntua.ac.in organization: Department of ECE, JNTUA, Ananthapuramu, AP, India |
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| Cites_doi | 10.1109/TCSVT.2014.2372291 10.1109/TCSVT.2012.2189793 10.1109/TCSVT.2005.852625 10.1016/j.vlsi.2010.01.001 10.1109/TCSI.2006.875171 10.1109/30.125072 10.1109/JSEN.2015.2456332 10.1109/TMM.2015.2514196 10.1109/TCSVT.2003.815173 10.1109/LSP.2017.2705250 10.1109/TCOMM.2012.080212.110108A 10.1016/j.csi.2011.04.001 10.3906/elk-1804-208 10.1145/214762.214771 10.1109/JETCAS.2016.2606550 10.1109/JSTSP.2013.2269272 |
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