Speech coding for energy-efficient digital signal processing

Waveform coding techniques known from low bitrate communication are evaluated for their usefulness in low-power digital filtering of speech signals as used in hearing aids or mobile communication applications. Experimental results are presented to quantify potential power savings subject to statistical signal properties and operating conditions. Compared to linear PCM, the energy per basic operation can be reduced by more than 50%.