Performance Analysis of Karatsuba Vedic Multiplier and Computation Sharing Multiplier in the Adaptive Filter Design
Gomathi Swaminathan1, Sasikala Subramaniyam2, G.Murugesan3
1Ms.Gomathi Swaminathan*, Assistant Professor, Electronics and Communication Engineering, Kongu Engineering College, Perundurai, Tamil Nadu, India.
2Dr.Sasikala Subramaniyam, Associate Professor, Electronics and Communication Engineering, Kongu Engineering College, Perundurai, Tamil Nadu, India.
3Dr.G.Murugesan, Professor, Electronics and Communication Engineering, Kongu Engineering College, Perundurai, Tamil Nadu, India.
Manuscript received on November 17, 2019. | Revised Manuscript received on 26 November, 2019. | Manuscript published on December 10, 2019. | PP: 4425-4429 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7454129219/2019©BEIESP | DOI: 10.35940/ijitee.B7454.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As real time signals change continuously, adaptive filtering is required for noise cancellation. An adaptive filter is one whose characteristics can be modified by adjusting its parameters according to an optimization algorithm The adaptive filtering operations can be implemented as a sequence of logic operations on a Digital Signal Processing (DSP) chip,Gate Arrays such as FPGA or Application Specific Integrated Circuits. There is always a tradeoff in the parameters area, power and speed in VLSI. This paper provides the implementation of adaptive LMS Filter using different types of multiplier and its analysis for the various parameters. The LMS Filter is designed using conventional array multiplier, Computation Sharing Mutliplier(CSHM) and Karatsuba Vedic Multiplier. The results show 70% reduction in delay and 19% reduction in area on using Karatsuba Vedic Multiplier ofr adaptive filter design.
Keywords: Adaptive filters, Field Programmable Gate Array, Computation Sharing Mutliplier, Vedic Multiplier.
Scope of the Article: Computation Intelligence and Analytics