Fault tolerant transform domain adaptive noise Canceling from Corrupted Speech Signals

@article{Sova2012FaultTT,
  title={Fault tolerant transform domain adaptive noise Canceling from Corrupted Speech Signals},
  author={D. Sova and Chandrasekhar Radhakrishnan and William K. Jenkins and A. De Salvia},
  journal={2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)},
  year={2012},
  pages={888-891}
}
Fault Tolerant Adaptive Filters (FTAFs) rely on inherent learning capabilities of the adaptive process to compensate for transient (soft) or permanent (hard) errors in hardware implementations. This paper investigates fault tolerant transform domain adaptive noise canceling filters to cancel noise from corrupted speech signals. Two transform domain adaptive FIR architectures are compared, one based on the conventional FFT and one on the Modified Discrete Fourier Transform (MDFT), both without… 
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References

SHOWING 1-7 OF 7 REFERENCES
Fault Tolerance in Transform-Domain Adaptive Filters Operating With Real-Valued Signals
TLDR
It is shown that a fast-Fourier-transform (FFT)-based transform-domain FTAF operating on real-valued signals can provide a similar degree of fault tolerance without introducing redundancy in the form of zero padding.
Adaptive fault tolerance for reliable LMS adaptive filtering
TLDR
The aims of this paper are to demonstrate the principles of the AFT approach and motivate future research in this area by drawing attention to similarities between AFT and other methods of fault tolerance that exploit adaptivity, such as neural networks.
Reliable transform domain adaptive filters designed with a hybrid combination of redundant hardware modules and algorithmic error detection and correction
TLDR
This paper proposes a hybrid combination of redundant hardware modules and arithmetic (algorithmic) error detection to produce efficient and reliable designs for transform domain adaptive filters.
Soft digital signal processing
TLDR
A prediction-based error-control scheme is proposed to enhance the performance of the filtering algorithm in the presence of errors due to soft computations, and algorithmic noise-tolerance schemes can also be used to improve theperformance of DSP algorithms in presence of bit-error rates of up to 10/sup -3/ due to deep submicron (DSM) noise.
Modeling the effect of technology trends on the soft error rate of combinational logic
TLDR
An end-to-end model is described and validated that enables us to compute the soft error rates (SER) for existing and future microprocessor-style designs and predicts that the SER per chip of logic circuits will increase nine orders of magnitude from 1992 to 2011 and at that point will be comparable to the SERper chip of unprotected memory elements.
Fault Tolerant Adaptive Filters based on modified discrete fourier transform architectures
TLDR
This work replaces the conventional DFT with the Modified Discrete Fourier Transform (MDFT) to provide frequency domain samples that are not constrained to be strictly real-valued.
Keckler , Doug Burger , Michael Kistler , Lorenzo Alvisi , “ Modelling the Effect of Technology Trends on the Soft Error Rate of Combinational Logic