Improving the quality degradation of dynamically configurable approximate multipliers via data correlation

HIGHLIGHTS

  • who: Fabio Frustaci from the Department of Computer Science, Modelling, Electronics and Systems, DIMES, University of Calabria have published the article: Improving the Quality Degradation of Dynamically Configurable Approximate Multipliers via Data Correlation, in the Journal: Electronics 2021, 2063 of /2021/
  • what: The work described proposes the design of dual-quality compressors to be placed in the least-significant part of the partial-product reduction stage of the multiplier. To overcome the above-mentioned limitations, the approach described in Figure 2 can be simplified as follows: Simplification : the correction factor for the i-th interval . . .

     

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