Design of Digital Signal Processing Modules with Nanoelectronics

This paper presents a new approach of employing nanowire (NW) crossbars for digital signal processing (DSP) applications. By employing the distributed arithmetic (DA), complicated signal processing tasks can be converted into regular memory operations. Thus, this architecture matches well with the technological characteristics of NW crossbars. A new defect- tolerant technique exploiting the abundant data redundancy inherent in the DA module is proposed to achieve error-resilient signal processing with defect-prone NW crossbars. The performance of the proposed approach is demonstrated through a finite impulse response (FIR) filter. Simulation results show that the DA-based nano DSP modules can tolerate excessive defects with minor performance degradation under a range of defect rates and operation conditions.