Compensating Interpolation Distortion by New Optimized Modular Method

TL;DR

This paper introduces an optimized modular method that compensates for interpolation distortion, significantly improving signal reconstruction quality and robustness against noise with fewer modules and simple coefficient adjustments.

Contribution

It proposes a novel, optimized approach for the modular method that enhances performance and noise robustness using simple calculated coefficients.

Findings

Significant SNR improvement over classical modular method

Fewer modules needed for comparable performance

Enhanced robustness against additive noise

Abstract

A modular method was suggested before to recover a band limited signal from the sample and hold and linearly interpolated (or, in general, an nth-order-hold) version of the regular samples. In this paper a novel approach for compensating the distortion of any interpolation based on modular method has been proposed. In this method the performance of the modular method is optimized by adding only some simply calculated coefficients. This approach causes drastic improvement in terms of SNRs with fewer modules compared to the classical modular method. Simulation results clearly confirm the improvement of the proposed method and also its superior robustness against additive noise.