Modulo Sampling of FRI Signals
Satish Mulleti, Yonina C. Eldar

TL;DR
This paper introduces a novel modulo sampling method for FRI signals that reduces sampling rate and number of samples needed, with theoretical guarantees and a practical algorithm for accurate parameter estimation.
Contribution
It presents a new approach for FRI sampling using modulo operations with compact kernels, achieving minimal sampling rates and sample counts while providing theoretical guarantees.
Findings
Unique FRI signal identification at sampling rates above the RoI
Number of samples equals the degrees of freedom for identifiability
Proposed algorithm achieves lowest estimation error with minimal samples
Abstract
The dynamic range of an analog-to-digital converter (ADC) is critical during sampling of analog signals. A modulo operation prior to sampling can be used to enhance the effective dynamic range of the ADC. Further, sampling rate of ADC too plays a crucial role and it is desirable to reduce it. Finite-rate-of-innovation (FRI) signal model, which is ubiquitous in many applications, can be used to reduce the sampling rate. In the context of modulo folding for FRI sampling, existing works operate at a very high sampling rate compared to the rate of innovation (RoI) and require a large number of samples compared to the degrees of freedom (DoF) of the FRI signal. Moreover, these approaches use infinite length filters that are practically infeasible. We consider the FRI sampling problem with a compactly supported kernel under the modulo framework. We derive theoretical guarantees and show that…
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Taxonomy
TopicsAnalog and Mixed-Signal Circuit Design · VLSI and Analog Circuit Testing · Blind Source Separation Techniques
