Compensating Interpolation Distortion by Using New Optimized Modular Method

TL;DR

This paper introduces a new optimized modular method that significantly improves the accuracy of signal reconstruction from interpolated samples by adding simple coefficients, resulting in higher SNR and robustness.

Contribution

A novel approach that enhances the modular method for signal recovery by optimizing performance with minimal additional complexity.

Findings

Drastic improvement in signal-to-noise ratio

Fewer modules needed for better 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 signal-to-noise ratios 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.