H. NavarroJuan A. Montiel–NelsonJ. SosaJosé C. GarcíaRoberto SarmientoSaeid Nooshabadi
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).
Lakkakula SannidhiS. V. S. PrasadManoj Kumar
Arun RaghupathyNitin ChandrachoodanK.J. Ray Liu
Arun RaghupathyPo‐Hsiang HsuK. J. Ray LiuNitin Chandrachoodan
S. DeviP. RangarajanJ. RajaPaul PerinbamS.-Y Huang; Jia-Shung Chuan-Yu ChoWangGustavo SanchezFelipe SampaioMarcelo PortoSergio BampiLuciano AgostiniReeba KorahM SankaralingamPerinbamPortoL AgostiniS BampiA SusinSu-Bong HongHyoseok LeeGeun-Young ChunHyunki BaikMyong-Soon ParkYong DingXiao-Lang YanHui-Yu HuangShih-Hsu ChangMahid AsefiMohamed-Yahia DabbaghMarcelo PortoAndr SilvaSergio AlmeidaEduardo CostaSergio BampiFeng LiyufeiWang XiuboQinVanne JarnoEero AhoD TimoKimmo HmlinenKuusilinnaChip-Hong ChangG JiangminMingyan ZhangMeihua GuNingmei YuLei ZhuWenhua JiaMarcelo PortoLuciano AgostiniSergio BampiAltamirosusin