Synopsis
Approximate computing can decrease the design complexity with an increase in performance and power proficiency for error resilient applications. This brief deals with a new design approach for approximation of multipliers. The partial products of the multiplier are altered to introduce varying probability terms. Logic complexity of approximation is varied for the accumulation of altered partial products based on their probability. The proposed approximation is utilized in two variants of 16-bit multipliers. Synthesis results reveal that the proposed 8 bit multiplier achieve power savings and reduces the delay compared to an exact multiplier. They have better accuracy when contrasted with existing estimated multipliers. Which are better than the previous works. Performance of the proposed multipliers is evaluated with an image processing application using Gaussian filter, where Gaussian filter with proposed approximate multiplier model achieves the highest peak signal to noise ratio(PSNR).
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Approximate multipliers for image processing
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LAP LAMBERT Academic Publishing Feb 2021, 2021
ISBN 10: 620330784X
ISBN 13: 9786203307849
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Approximate computing can decrease the design complexity with an increase in performance and power proficiency for error resilient applications. This brief deals with a new design approach for approximation of multipliers. The partial products of the multiplier are altered to introduce varying probability terms. Logic complexity of approximation is varied for the accumulation of altered partial products based on their probability. The proposed approximation is utilized in two variants of 16-bit multipliers. Synthesis results reveal that the proposed 8 bit multiplier achieve power savings and reduces the delay compared to an exact multiplier. They have better accuracy when contrasted with existing estimated multipliers. Which are better than the previous works. Performance of the proposed multipliers is evaluated with an image processing application using Gaussian filter, where Gaussian filter with proposed approximate multiplier model achieves the highest peak signal to noise ratio(PSNR). 68 pp. Englisch. Seller Inventory # 9786203307849
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Approximate multipliers for image processing
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Approximate multipliers for image processing
Published by
LAP LAMBERT Academic Publishing Feb 2021, 2021
ISBN 10: 620330784X
ISBN 13: 9786203307849
New
Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Approximate computing can decrease the design complexity with an increase in performance and power proficiency for error resilient applications. This brief deals with a new design approach for approximation of multipliers. The partial products of the multiplier are altered to introduce varying probability terms. Logic complexity of approximation is varied for the accumulation of altered partial products based on their probability. The proposed approximation is utilized in two variants of 16-bit multipliers. Synthesis results reveal that the proposed 8 bit multiplier achieve power savings and reduces the delay compared to an exact multiplier. They have better accuracy when contrasted with existing estimated multipliers. Which are better than the previous works. Performance of the proposed multipliers is evaluated with an image processing application using Gaussian filter, where Gaussian filter with proposed approximate multiplier model achieves the highest peak signal to noise ratio(PSNR).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Seller Inventory # 9786203307849
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Approximate multipliers for image processing : By design of area and power efficiency
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 620330784X
ISBN 13: 9786203307849
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Approximate computing can decrease the design complexity with an increase in performance and power proficiency for error resilient applications. This brief deals with a new design approach for approximation of multipliers. The partial products of the multiplier are altered to introduce varying probability terms. Logic complexity of approximation is varied for the accumulation of altered partial products based on their probability. The proposed approximation is utilized in two variants of 16-bit multipliers. Synthesis results reveal that the proposed 8 bit multiplier achieve power savings and reduces the delay compared to an exact multiplier. They have better accuracy when contrasted with existing estimated multipliers. Which are better than the previous works. Performance of the proposed multipliers is evaluated with an image processing application using Gaussian filter, where Gaussian filter with proposed approximate multiplier model achieves the highest peak signal to noise ratio(PSNR). Seller Inventory # 9786203307849
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Approximate multipliers for image processing | By design of area and power efficiency
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 620330784X
ISBN 13: 9786203307849
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Taschenbuch. Condition: Neu. Approximate multipliers for image processing | By design of area and power efficiency | Sridhar T. N. | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203307849 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 119720099