An efficient and low-latency attention model for event denoising

Key Points

• Event denoising is achieved with reduced latency, enhancing real-time performance.
• The model demonstrates superior performance metrics, including processing speed and accuracy.
• Analysis uses a novel attention model based on neural networks to optimize signal clarity.
• These findings suggest practical applications in various fields requiring real-time data processing.