Design and evaluation of stochastic FIR filters

Abstract

The compact arithmetic units in stochastic computing can potentially lower the implementation cost with respect to silicon area and power consumption. In addition, stochastic computing provides inherent tolerance of transient errors at the cost of a less efficient signal encoding. In this paper, a novel FIR filter design using the stochastic approach based on multiplexers are proposed. The required stochastic sequence length is determined for different signal resolutions by matching the performance of the proposed FIR filter with that of the conventional binary design. Silicon area, power and maximum clock frequency are obtained to evaluate the throughput per area (TPA) and the energy per operation (EPO). For equivalent filtering performance, the stochastic FIR filter underperforms in terms of TPA and EPO compared to the conventional binary design, albeit with some advantages in circuit area and power consumption. The stochastic design, however, shows a graceful degradation in performance with a significant reduction in energy consumption as the stochastic sequences are shortened. The fault-tolerance of the stochastic circuit is compared with that of the binary circuit equipped with triple modular redundancy. It is shown that the stochastic circuit is more reliable than the conventional binary design and its triple modular redundancy (TMR) implementation with unreliable voters, but it is less reliable than the binary TMR implementation when the voters are fault-free.