1 F. Salmanpour, "Ultra-Compact Imprecise 4:2 Compressor and Multiplier Circuits for Approximate Computing in Deep Nanoscale" 2021
2 C. Chiphong, "Ultra low-voltage low-power CMOS 4-2 and 5-2compressors for fast arithmetic circuits" 51 (51): 1985-1997, 2004
3 J. Liang, "New Metrics for the Reliability of Approximate and Probabilistic Adders" 62 (62): 1760-1771, 2013
4 M. Ha, "Multipliers With Approximate 4-2 Compressors and Error Recovery Modules" 10 (10): 6-9, 2018
5 S. Angizi, "Majority-Based Spin-CMOS Primitives for Approximate Computing" 17 (17): 795-806, 2018
6 M. S. Ansari, "Low-Power Approximate Multipliers Using Encoded Partial Products and Approximate Compressors" 8 (8): 404-416, 2018
7 A. G. M. Strollo, "Low-Power Approximate Multiplier with Error Recovery using a New Approximate 4-2Compressor" 1-4, 2020
8 W. Zhou, "Image quality assessment : from error visibility to structural similarity" 13 (13): 600-612, 2004
9 W. Guo, "Fast Binary Counters and Compressors Generated by Sorting Network" 29 (29): 1220-1230, 2021
10 M. Ahmadinejad, "Energy-and Quality-Efficient Approximate Multipliers for Neural Network and Image Processing Applications" 1-1, 2021
1 F. Salmanpour, "Ultra-Compact Imprecise 4:2 Compressor and Multiplier Circuits for Approximate Computing in Deep Nanoscale" 2021
2 C. Chiphong, "Ultra low-voltage low-power CMOS 4-2 and 5-2compressors for fast arithmetic circuits" 51 (51): 1985-1997, 2004
3 J. Liang, "New Metrics for the Reliability of Approximate and Probabilistic Adders" 62 (62): 1760-1771, 2013
4 M. Ha, "Multipliers With Approximate 4-2 Compressors and Error Recovery Modules" 10 (10): 6-9, 2018
5 S. Angizi, "Majority-Based Spin-CMOS Primitives for Approximate Computing" 17 (17): 795-806, 2018
6 M. S. Ansari, "Low-Power Approximate Multipliers Using Encoded Partial Products and Approximate Compressors" 8 (8): 404-416, 2018
7 A. G. M. Strollo, "Low-Power Approximate Multiplier with Error Recovery using a New Approximate 4-2Compressor" 1-4, 2020
8 W. Zhou, "Image quality assessment : from error visibility to structural similarity" 13 (13): 600-612, 2004
9 W. Guo, "Fast Binary Counters and Compressors Generated by Sorting Network" 29 (29): 1220-1230, 2021
10 M. Ahmadinejad, "Energy-and Quality-Efficient Approximate Multipliers for Neural Network and Image Processing Applications" 1-1, 2021
11 N. V. Toan, "Energy-Area-Efficient Approximate Multipliers for Error-Tolerant Applications on FPGAs" 336-341, 2019
12 M. Ahmadinejad, "Energy and area efficient imprecise compressors for approximate multiplication at nanoscale" 110 : 2019
13 O. Akbari, "Dual-Quality 4 : 2 Compressors for Utilizing in Dynamic Accuracy Configurable Multipliers" 25 (25): 1352-1361, 2017
14 X. Yi, "Design of an Energy-Efficient Approximate Compressor for Error-Resilient Multiplications" 1-5, 2019
15 H. Pei, "Design of UltraLow Power Consumption Approximate 4-2Compressors Based on the Compensation Characteristic" 68 (68): 461-465, 2021
16 S. Venkatachalam, "Design of Power and Area Efficient Approximate Multipliers" 25 : 1782-1786, 2017
17 M. M. D. Savio, "Design of Higher Order Multiplier with Approximate Compressor" 1-6, 2020
18 A. Gorantla, "Design of Approximate Compressors for Multiplication" 3 : 44-, 2017
19 A. Momeni, "Design and Analysis of Approximate Compressors for Multiplication" 64 (64): 984-994, 2015
20 A. Strollo, "Comparison and Extension of Approximate 4-2Compressors for Low-Power Approximate Multipliers" 67 (67): 3021-3034, 2020
21 D. Esposito, "Approximate Multipliers Based on New Approximate Compressors" 65 (65): 4169-4182, 2018
22 H. Jiang, "Approximate Arithmetic Circuits: A Survey, Characterization, and Recent Applications" 108 (108): 2108-2135, 2020
23 F. Sabetzadeh, "A Majority-Based Imprecise Multiplier for UltraEfficient Approximate Image Multiplication" 66 (66): 4200-4208, 2019
24 N. Savithaa, "A High speed Area Efficient Compression technique of Dadda multiplier for Image Blending Application" 426-430, 2019