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Nahrstedt, Harald

doi:10.1007/978-3-8348-1980-2_4

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Mathematical Evaluation1

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2019

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“…Where y i (x), are the piecewise third-degree polynomials which are interpolated between the given points. …(a) [7] For natural cubic spline M 0 and M n are considered to be zero which is represented in the matrix format below for n = 5.…”

Section: Mathematical Evaluationmentioning

confidence: 99%

VLSI Architecture of Cubic SP line Interpolation on FPGA

Jayakumar*,

Sangeetha

2019

IJRTE

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A novel time frequency analysis method was proposed by N.E.Huang known as Hilbert Huang Transform which, can be used for analyzing and processing real world signals. The Intrinsic Mode Functions (IMF) is the key part of this algorithm, in this part the empirically decomposed signal data points uses the cubic spline interpolation for connecting maximum and minimum points to connect lower and upper envelope of the processed signal. This paper presents the real time architecture for hardware implementation of natural cubic spline interpolation. The architecture of proposed cubic spline is using the properties of continuous cubic and linear polynomials. The experimental results showed that our proposed architecture gets better result than previous proposal implemented on Spartan 6 based FPGA board.

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Section: Mathematical Evaluationmentioning

confidence: 99%