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Memory-Based Computing for Resource-Constrained Embedded Device Applications: A Case Study
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DOI：10.1007/s40009-025-01883-0.png)
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Abstract
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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.
Keywords:
Memory-based computing
Lookup table
Embedded devices
Active noise control
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ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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