在AI接管之前:重新思考通信中的非线性信号处理
Before AI Takes Over: Rethinking Nonlinear Signal Processing in Communications
AI总结:
本文在AI主导通信领域前,反思传统非线性信号处理方法,呼吁重新评估既有理论,并探索经典信号处理与新兴AI方法的共存与整合路径。
摘要:
在人工智能(AI)主导该领域之前,迫切需要对通信中的传统非线性信号处理方法进行反思。这意味着需要重新评估或重新解释既有的理论和工具,凸显数据驱动与基于模型的方法之间的张力。本文呼吁保留经典信号处理中的宝贵见解,同时探索它们如何与新兴AI方法共存或整合。
英文摘要:
There is an urgent reflection on traditional nonlinear signal processing methods in communications before Artificial Intelligence (AI) dominates the field. It implies a need to reassess or reinterpret established theories and tools, highlighting the tension between data-driven and model-based approaches. This paper calls for preserving valuable insights from classical signal processing while exploring how they can coexist or integrate with emerging AI methods.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。