The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Bio-Inspired Imprecise Computational Blocks for Efficient VLSI Implementation of Soft-Computing Applications
Abstract
The conventional digital hardware computational blocks with different structures are designed to compute the precise results of the assigned calculations. The main contribution of our proposed Bio-inspired Imprecise Computational blocks (BICs) is that they are designed to provide an applicable estimation of the result instead of its precise value at a lower cost. These novel structures are more efficient in terms of area, speed, and power consumption with respect to their precise rivals. Complete descriptions of sample BIC adder and multiplier structures as well as their error behaviors and synthesis results are introduced in this paper. It is then shown that these BIC structures can be exploited to efficiently implement a three-layer face recognition neural network and the hardware defuzzification block of a fuzzy processor.
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Cites
An integrated system for simultaneous, multichannel neuronal stimulation and recording.
Blum, R. A., Ross, J. D., Brown, E. A., & DeWeerth, S. P. (2007) · IEEE Transactions on Circuits and Systems I Regular Papers · doi:10.1109/tcsi.2007.906071 · Cited by 74
Cited by
Dual-Quality 4:2 Compressors for Utilizing in Dynamic Accuracy Configurable Multipliers
Akbari, O., Kamal, M., Afzali-Kusha, A., & Pedram, M. (2017) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/tvlsi.2016.2643003 · Cited by 312
Approximate Computing Methods for Embedded Machine Learning
Ibrahim, A., Osta, M., Alameh, M., Saleh, M., Chible, H., & Valle, M. (2018) · 2018 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS) · doi:10.1109/icecs.2018.8617877 · Cited by 31
Metadata
- Authors
- Mahdiani, H. R., Ahmadi, A., Fakhraie, S. M., & Lucas, C.
- Venue
- IEEE Transactions on Circuits and Systems I: Regular Papers
- Published
- 2010-04
- Volume
- 57
- Issue
- 4
- Pages
- 850-862
- ISSN
- 1549-8328 (ISSN-L)
- 1558-0806
- OpenAlex
- W2135089667
- Cited by
- 621
- References
- 1
- FWCI
- 4.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mahdiani, H. R., Ahmadi, A., Fakhraie, S. M., & Lucas, C. (2010). Bio-Inspired Imprecise Computational Blocks for Efficient VLSI Implementation of Soft-Computing Applications. IEEE Transactions on Circuits and Systems I: Regular Papers. https://doi.org/10.1109/tcsi.2009.2027626
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