A new ABFT architecture is proposed to tolerate multiple soft-errors with low overheads. It memorizes operands on a stack upon error detection and corrects errors by recomputing. This allows uninterrupted input data streams to be processed without data loss. Several methods based on physical, electrical or logical principles have been proposed to reduce the susceptibility to error in digital sy...

In this paper, an energy-efficient estimation and detection problem is formulated for low-power digital filtering. Building on the soft digital signal processing technique proposed by Hegde et al., that combines algorithmic noise tolerance (ANT) and voltage scaling to reduce power, the proposed minimum power soft error cancellation (MP-SEC) technique detects, estimates and corrects transient er...

Soft error could cause digital circuit to temporary malfunction. In an asynchronous circuit, the temporary malfunction of the control circuit will cause deadlock; a state where the system will be disabled indefinitely until the system has been reset or the error is filtered or corrected from the system. C-element is most commonly found in control circuit. We have studied the vulnerability of si...

This paper addresses the issue of phase noise in OFDM systems. Phase noise (PHN) is a transceiver impairment resulting from the non-idealities of the local oscillator. We present a case for designing a turbo receiver for systems corrupted by phase noise by taking a closer look at the effects of the common phase error (CPE). Using an approximate probabilistic framework called variational inferen...

This paper addresses the use of multirate filter banks in the context of error-correction coding. An in-depth study of these filter banks is presented, motivated by earlier results and applications based on the filter bank representation of Reed-Solomon (RS) codes, such as Soft-In Soft-Out RS-decoding or RS-OFDM. The specific structure of the filter banks (critical subsampling) is an important ...