exact computation
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Fractals ◽  
2021 ◽  
pp. 2240003
Author(s):  
ANOUAR BEN MABROUK ◽  
ADEL FARHAT

In this work, some density estimations associated to vector-valued quasi-Ahlfors measures are developed within the mixed multifractal analysis framework. The principle idea reposes on the fact that being quasi-Ahlfors is sufficient to conduct a mixed multifractal analysis for vector-valued measures. In this work, we introduced a multifractal density for finitely many measures, and showed that such density may be estimated well by means of the mixed multifractal measures. Such estimation induces an exact computation of multifractal spectrum of the vector-valued quasi-Ahlfors measure.


Author(s):  
Uppugunduru Anil Kumar ◽  
Syed Ershad Ahmed

Approximate computing is an attractive technique to gain substantial improvement in the area, speed, and power in applications where exact computation is not required. This paper proposes two improved multiplier designs based on a new 4:2 approximate compressor circuit to simplify the hardware at the partial product reduction stage. The proposed multiplier designs are targeted towards error-tolerant applications. Exhaustive error and hardware analysis has been carried out on the existing and proposed multiplier designs. The results prove that the proposed approximate multiplier architecture performs better than the existing architectures without significant compromise on quality metrics. Experimental results show that die-area and power consumed are reduced upto 28%, and 25.29% respectively in comparison with the existing designs without significant compromise on accuracy.


2020 ◽  
Vol 12 ◽  
Author(s):  
Subhashis Maitra

Background: Approximate computing is an emerging trend in recent year that trades off the requirement of exact computation for the improvement of speed and power performance. Objective: Researchers are trying to improve the speed and power performance proposing different algorithm. Method: This paper proposes approximate compressors used for the design of approximate multipliers. Results: By using the proposed method, approximate multipliers of different length have been synthesized and a comparative study with previously presented multipliers have been dealt here which shows that the proposed circuits have better speed and power. Conclusion: Finally the proposed circuits have been used for image processing applications.


2020 ◽  
Vol 92 (15) ◽  
pp. 10613-10619
Author(s):  
Patrick Kreitzberg ◽  
Jake Pennington ◽  
Kyle Lucke ◽  
Oliver Serang

2020 ◽  
Vol 134 ◽  
pp. 46-57 ◽  
Author(s):  
David B. Blumenthal ◽  
Johann Gamper

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