Tunable Stochastic Oscillator Based on Hybrid VO₂/TaOₓ Device for Compressed Sensing
Lin Bao, Zongwei Wang, Bowen Wang, Keqin Liu, Guandong Bai, Zhizhen Yu, Jian Kang, Yaotian Ling, Lindong Wu, Qingyu Chen, Kham M. Niang, Yimao Cai, John Robertson, Ru Huang
Abstract
Compressed sensing with a tunable random sampling strategy has great potential in reducing the energy/time consumption during the constant acquisition of external information, thereby it is considered one of the most promising sensing strategies in edge-terminal. In this letter, a novel tunable stochastic oscillator (TSO) based on the VO2/TaOx structure was proposed and employed as the core controlling device for compressed sensing. The TSO is jointly governed by the metal-insulator-transition (IMT) based threshold switching of the VO2 layer and the stochastic resistive switching by the TaOx layer. The tunable memristor/resistor in series can modulate the oscillation frequency of the TSO. The orthogonal matching pursuit (OMP) algorithm is implemented to reconstruct the compressed sparse signals, demonstrating a good performance of TSO in compressed sensing.