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Designing of Farrow Structure Based Interpolators on Nanometer Based Field Programmable Gate Arrays Technology

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Sample rate conversion plays very important role in the design of any digital communication system. Interpolation filters are used at the transmitter side to increase the sample rate of the signal. This paper presents the designing and analysis of interpolation filter using Farrow structure. An important property of this filter is that it can be used for fractional sample rate conversion. Many variants of this filter are available in the literature, but we have used Lagrange polynomial method for its implementation. Also Implementation has been done using cubic Lagrange and quadratic Lagrange polynomial. The proposed Farrow Interpolator has been designed using Altera DSP Builder Advanced Blockset which is a nanometer based Field Programmable gate Arrays (FPGA) Device.
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Keywords: CUBIC LAGRANGE POLYNOMIAL DECIMATION; FARROW STRUCTURE; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); INTERPOLATION; QUADRATIC LAGRANGE POLYNOMIAL

Document Type: Research Article

Publication date: 2013-09-01

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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