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<p>This paper highlights the potential of memory-based computing in enhancing the efficiency of embedded devices with limited resources, using the example of active noise control (ANC) in wireless earbuds. The memory-based scheme for the ANC system combines the two optimization methods proposed. Theoretical analysis and experimental results show the memory-based scheme’s ability to reduce computational complexity and shorten processing time while achieving good noise reduction effect. By presenting this case, it can be seen that memory-based computing schemes promise a new solution for resource-constrained embedded device applications.</p>

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Memory-Based Computing for Resource-Constrained Embedded Device Applications: A Case Study

  • 期刊论文

  • 发表日期：

    2025年12月10日

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  • Weibang Dai,
  • Xiaogang Chen,
  • Sannian Song,
  • Houpeng Chen,
  • Yichen Song,
  • Shunfen Li,
  • Tao Hong,
  • Zhitang Song

摘要

This paper highlights the potential of memory-based computing in enhancing the efficiency of embedded devices with limited resources, using the example of active noise control (ANC) in wireless earbuds. The memory-based scheme for the ANC system combines the two optimization methods proposed. Theoretical analysis and experimental results show the memory-based scheme’s ability to reduce computational complexity and shorten processing time while achieving good noise reduction effect. By presenting this case, it can be seen that memory-based computing schemes promise a new solution for resource-constrained embedded device applications.