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Implementation of Vedic Multiplier and Floating Point Matrix Multiplier in Image Compression Applications
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1002.1292s519
Subject(s) - verilog , multiplier (economics) , floating point , matrix multiplication , computer science , arithmetic , very large scale integration , matrix (chemical analysis) , parallel computing , mathematics , computer hardware , algorithm , embedded system , field programmable gate array , physics , materials science , quantum mechanics , economics , composite material , quantum , macroeconomics
It is implemented into low Power Verilog Architecture to the area for digital images Process application, In the matrix multiplications are one of the key arithmetically operations. And the constructed into VLSI architecture for Low Power, High Speed & Lowarea, Matrices Multiplications designed into become rare. In the projects, is a simple work of fiction in Verilog architectures with Floating point matrix multiplier be presents. The designs into consider as Pseudo codes with the matrix multiplications, CSD multiplication algorithms with power reductions, Convention floating points as number formatting & Pipeline concept with as improves speeds. In the Floating point matrix multiplier design as appropriate with anyone orbitrary sizes of the matrix among the followed matrices rule. It is designed may also gives as higher precision outputs. The simulation result is perfect matched into the MATLAB result.

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