A low power hearing aid computing platform using lightweight processing elements
Kuo-Chiang Chang, Yu-Wen Chen, Yu‐Ting Kuo, Chih‐Wei Liu · 2012
This paper presents a power-efficient computing platform for hearing aids. The proposed platform composes four heterogeneous processing elements. Each processing element includes one tiny RISC processor and several power-efficient hardwired accelerators. The hardwired accelerators integrate static floating-point and truncated multiplier to improve signal-to-noise ratio and reduce computational complexity. Compared to the post-truncate multiplication in FIR filter, the proposed static floating-point datapath reduces 50.8% area and improves 2.2 dB SNR simultaneously.