Digital integrated circuits: a design perspective
Digital integrated circuits: a design perspective
Low-power realization of FIR filters on programmable DSP's
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
Soft digital signal processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - System Level Design
Reliable low-power digital signal processing via reduced precision redundancy
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
ETS '06 Proceedings of the Eleventh IEEE European Test Symposium
Discrete-time speech signal processing: principles and practice
Discrete-time speech signal processing: principles and practice
Accuracy-aware SRAM: a reconfigurable low power SRAM architecture for mobile multimedia applications
Proceedings of the 2009 Asia and South Pacific Design Automation Conference
Hi-index | 0.01 |
Voltage scaling is a promising approach to reduce the power consumption in signal processing circuits. However aggressive voltage scaling can introduce errors in the output signal, thus degrading the algorithmic performance of the circuit. We consider the specific case of the finite impulse response (FIR) filter, and identify two different sources of errors occurring due to voltage scaling: (a) errors introduced because of increased delay along the logic path and (b) errors caused by failures in the memory due to process variations. We design a FIR filter by using a simple feedback based approach to reduce the memory errors and a linear predictor structure for correcting the logic errors. The proposed filter is more robust to both logic and memory errors caused by voltage scaling. The results show a considerable improvement in the output Signal to Noise ratio (at least around 10 dB) for a probability of error (Perr) even as high as 0.5. We also utilize the proposed technique for an image filtering application and observe a considerable improvement in the visual quality of the output image along with an improvement of over 10 dB in the Peak Signal to Noise ratio for (Perr) as high as 0.5.