# AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate   Sampling of Sparse Signals

**Authors:** Soheil Salehi, Ramtin Zand, Alireza Zaeemzadeh, Nazanin Rahnavard,, Ronald F. DeMara

arXiv: 1903.00971 · 2019-03-14

## TL;DR

This paper introduces AQuRate, an MRAM-based stochastic oscillator that efficiently generates adaptive, non-uniform sampling clocks for sparse signals, significantly reducing area and power consumption compared to existing solutions.

## Contribution

The paper presents a novel MRAM-based stochastic oscillator for adaptive quantization rate sampling, achieving substantial reductions in area and power over prior non-uniform clock generators.

## Key findings

- ~25-fold reduction in area
- ~6-fold reduction in power dissipation
- Effective adaptive sampling for sparse signals

## Abstract

Recently, the promising aspects of compressive sensing have inspired new circuit-level approaches for their efficient realization within the literature. However, most of these recent advances involving novel sampling techniques have been proposed without considering hardware and signal constraints. Additionally, traditional hardware designs for generating non-uniform sampling clock incur large area overhead and power dissipation. Herein, we propose a novel non-uniform clock generator called Adaptive Quantization Rate (AQR) generator using Magnetic Random Access Memory (MRAM)-based stochastic oscillator devices. Our proposed AQR generator provides ~25-fold reduction in area, on average, while offering ~6-fold reduced power dissipation, on average, compared to the state-of-the-art non-uniform clock generators.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1903.00971/full.md

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/1903.00971/full.md

## References

23 references — full list in the complete paper: https://tomesphere.com/paper/1903.00971/full.md

---
Source: https://tomesphere.com/paper/1903.00971