Dequantization of a signal from two parallel quantized observations
Vojt\v{e}ch Kovanda, Pavel Rajmic

TL;DR
This paper introduces a dequantization method that combines two differently quantized observations to reconstruct signals with higher fidelity than using either device alone, leveraging sparsity regularization.
Contribution
The paper presents a novel approach that integrates two sampling devices with different rates and quantization levels for improved signal reconstruction.
Findings
Outperforms existing methods in objective tests
Achieves higher reconstruction quality with combined sampling
Demonstrates superiority in subjective evaluations
Abstract
We propose a technique of signal acquisition using a combination of two devices with different sampling rates and quantization accuracies. Subsequent processing involving sparsity regularization enables us to reconstruct the signal at such a sampling frequency and with such a bit depth that was not possible using the two devices independently. Objective and subjective tests show the superiority of the proposed method in comparison with alternatives.
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Taxonomy
TopicsImage and Signal Denoising Methods · Advanced Data Compression Techniques · Digital Filter Design and Implementation
