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Design+                                                        Approximate signed multipliers design approach



            34.  Ahmadinejad M, Moaiyeri MH, Sabetzadeh F. Energy      doi: 10.1109/tetc.2021.3072666
               and area efficient imprecise compressors for approximate   42.  Pei  H,  Yi  X,  Zhou  H,  He  Y.  Design  of  ultra-low  power
               multiplication at nanoscale.  AEU Int J Electron Commun.   consumption approximate 4–2 compressors based on the
               2019;110:152859.                                   compensation characteristic. IEEE Trans Circuits Syst II Exp
               doi: 10.1016/j.aeue.2019.152859                    Briefs. 2021;68(1):461-465.
            35.  Yang Z, Han J, Lombardi F. Approximate Compressors for      doi: 10.1109/tcsii.2020.3004929
               Error-Resilient  Multiplier  Design.  In:  Presented at: 2015   43.  Kumar UA, Chatterjee SK, Ahmed SE. Low-power
               IEEE International Symposium on Defect and Fault Tolerance   compressor-based approximate multipliers with error
               in VLSI and Nanotechnology Systems (DFTS); 2015.   correcting module.  IEEE Embedded Syst Lett. 2022;14(2):
            36.  Jinghang L, Jie H, Lombardi F. New metrics for the reliability   59-62.
               of approximate and probabilistic adders.  IEEE Trans      doi: 10.1109/les.2021.3113005
               Comput. 2013;62(9):1760-1771.
                                                               44.  Esposito D, Strollo AGM, Napoli E, De Caro D, Petra N.
               doi: 10.1109/tc.2012.146                           Approximate multipliers based on new approximate
            37.  Akbari O, Kamal M, Afzali-Kusha A, Pedram M. Dual-  compressors.  IEEE Trans Circuits Syst I Regular
               quality 4:2 Compressors for utilizing in dynamic accuracy   Pap. 2018;65(12):4169-4182.
               configurable multipliers. IEEE Trans Very Large Scale Integr      doi: 10.1109/tcsi.2018.2839266
               Syst. 2017;25(4):1352-1361.
                                                               45.  Waris H, Wang C, Xu C, Liu W. AxRMs: Approximate
               doi: 10.1109/tvlsi.2016.2643003                    Recursive Multipliers using High-Performance  Building
            38.  Gonzalez RC, Woods RE, Eddins SL. Digital Image Processing   Blocks. In:  IEEE Transactions on Emerging Topics in
               using MATLAB. United Kingdom; Pearson Education India;   Computing; 2021. p. 1-1.
               2004.                                              doi: 10.1109/tetc.2021.3096515
            39.  Wang Z, Bovik AC, Sheikh HR, Simoncelli EP. Image quality   46.  Strollo AGM, Napoli E, De Caro D, Petra N, Meo GD.
               assessment: from error visibility to structural similarity.   Comparison and extension of approximate 4-2 compressors
               IEEE Trans Image Process. 2004;13(4):600-612.      for low-power approximate multipliers. IEEE Trans Circuits
               doi: 10.1109/tip.2003.819861                       Syst I Regular Pap. 2020;67(9):3021-3034.
            40.  Sabetzadeh  F,  Moaiyeri  MH,  Ahmadinejad  M.  An  Ultra-     doi: 10.1109/tcsi.2020.2988353
               Efficient Approximate Multiplier with Error Compensation   47.  Fang B, Liang H, Xu D,  et al. Approximate multipliers
               for Error-Resilient Applications. In:  IEEE Transactions on   based on a novel unbiased approximate 4-2 compressor.
               Circuits and Systems II: Express Briefs; 2022. p. 1-1.  Integration. 2021;81:17-24.
               doi: 10.1109/tcsii.2022.3215065                    doi: 10.1016/j.vlsi.2021.05.003
            41.  Ahmadinejad M, Moaiyeri MH. Energy-and Quality-  48.  Baraati F, Nasab MT, Ghaderi R, Jafari K. FinFET-based
               Efficient Approximate Multipliers for Neural Network and   Low-Power Approximate Multiplier for Neural Network
               Image Processing Applications. In:  IEEE Transactions on   Hardware Accelerator. In:  Presented at: 2022 Iranian
               Emerging Topics in Computing; 2021. p. 1-1.        International Conference on Microelectronics (IICM); 2022.


























            Volume 1 Issue 1 (2024)                         9                                doi: 10.36922/dp.3882
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