基于随机数相关性的中值滤波电路设计OA

Stochastic computing(SC),an unconventional computational paradigm,employs probabilities to represent numerical values.This representation enables complex arithmetic operations to be performed using simple logic gates.This work presents a fast unary me-dian filtering circuit design.The proposed filter utilizes counters to generate stochastic numbers(SNs)and constructs fundamental sor-ting network units using stochastic correlation logic.A feedback loop,formed based on the output,dynamically terminates computations early without consuming additional hardware area,significantly reducing substantial circuit latency.The experimental results demon-strate that the proposed median filter design outperforms existing implementations in both actual bitstream length and energy consump-tion.Specifically,the proposed 3×3 window median filter circuit achieves a 55.58%reduction in energy.Further validation using medi-an filtering on images corrupted by salt-and-pepper noise confirms the accuracy of the proposed circuit.For a 16-input sorting network application,the proposed design exhibits lower consumption when inputs range within[0,0.5],achieving up to a 50%reduction in ac-tual bitstream length and energy consumption.