An Ultra-Efficient Approximate Multiplier With Error Compensation for Error-Resilient Applications
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DOI: 10.1109/tcsii.2022.3215065
Abstract: Approximate computing is a promising paradigm for trading off accuracy to improve hardware efficiency in error-resilient applications such as neural networks and image processing. This brief presents an ultra-efficient approximate multiplier with error compensation capability.… read more here.
Keywords: compensation; ultra efficient; error; error compensation ... See more keywords