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The hardware implementation of deep neural networks (DNNs) has recently received tremendous attention: many applications in fact require high-speed operations that suit a hardware implementation. However, numerous elements and complex interconnections are usually required, leading to a large area occupation and copious power consumption. Stochastic computing (SC) has shown promising results for low-power...
Stochastic cascaded IIR filters are used for area-efficient complicated filters in hardware, such as gammatone and gammachirp filters, but the effectiveness of the cascaded form has not been studied in stochastic computation. To evaluate the performance of the stochastic cascaded IIR filters, stochastic direct-form IIR filters are also designed as a baseline filter. The performance of both stochastic...
The hardware implementation of deep neural networks (DNNs) has recently received tremendous attention since many applications require high-speed operations. However, numerous processing elements and complex interconnections are usually required, leading to a large area occupation and a high power consumption. Stochastic computing has shown promising results for area-efficient hardware implementations,...
This paper introduces a scaled IIR filter based on stochastic computation. The stochastic IIR filter can provide an area-efficient hardware implementation that replaces a multiplier used in a traditional implementation by a simple logic gate. However, it strongly suffers from overflow of internal values as stochastic computation represents limited real values within −1 to 1, which significantly degrades...
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