A Novel High-Speed, Low-Power CNTFET-Based Inexact Full Adder Cell for Image Processing Application of Motion Detector
| Autor: | Seyedeh Mohtaram Daryabari, Yavar Safaei Mehrabani, Zahra Zareei, Reza Faghih Mirzaee |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Motion detector
Adder Image quality Computer science 020208 electrical & electronic engineering Image processing 02 engineering and technology General Medicine Peak signal-to-noise ratio 020202 computer hardware & architecture Carbon nanotube field-effect transistor Hardware and Architecture Approximation error 0202 electrical engineering electronic engineering information engineering Electronic engineering Electrical and Electronic Engineering MATLAB Algorithm computer computer.programming_language |
| Zdroj: | Journal of Circuits, Systems and Computers. 26:1750082 |
| ISSN: | 1793-6454 0218-1266 |
| DOI: | 10.1142/s0218126617500827 |
| Popis: | This paper presents a novel inexact full adder based on carbon nanotube field-effect transistors (CNTFET) for approximate computations, which has soared in popularity especially for image processing applications. The proposed design generates the output carry without error. Therefore, the propagation of incorrect value to higher bit positions is avoided. It has the least relative error distance (Relative ED) compared to other approximate full adders reported in the literature. Practical simulations by using MATLAB demonstrate higher peak signal to noise ratio (PSNR) and image quality for motion detector image processing application. HSPICE simulations also confirm the efficiency of the proposed design. Moreover, area occupation is investigated by using electric tool. Power consumption, delay, area and ED are important evaluating factors in this subject. Comparisons are made by a comprehensive parameter (PDAEDP), based on which the new design has 23.8%, 41.5%, 70.5%, 78% and 83.6% higher performance than TGA1, TGA2, AXA1, AXA2 and AXA3, respectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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