A novel ultrasonic wave-based analog Fourier transform computing system
Source abstract
Abstract
The Fourier transform is a powerful tool that has manifold applications in various disciplines. With the rise of new applications, such as real-time image processing, there is a need for more efficient Fourier transformation methods. This has led to a number of advancements in the field of wave-based analog computing, with the development of the ultrasonic Fourier transform most recently. This paper presents an alternative design to existing ultrasonic Fourier transform analog computing systems, with its relative compactness being the main advantage. In this study, its capabilities and limitations are extensively examined.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Neural Networks and Reservoir Computing · Electrowetting and Microfluidic Technologies · Photonic and Optical Devices
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Hwa Chong Institution 1 , 661 Bukit Timah Road, Singapore 269734
A*STAR Institute of High Performance Computing 2 , 1 Fusionopolis Way, Singapore 138632
References (50)
Show source-provided references
1. Science · 2014 · 343 · 14410.1126/science.1248659 ↗
2. 2017
3. 2015
4. 1988
5. 2018 · 1
6. 2019 · 1735
7. 2020 · 1
8. 1982
9. Am. J. Phys. · 1991 · 59 · 74410.1119/1.16754 ↗
10. 2018
11. 1983
12. Vet. Microbiol. · 2007 · 123 · 30510.1016/j.vetmic.2007.04.010 ↗
13. 2021 · 1
14. Nat. Rev. Mater. · 2020 · 6 · 20710.1038/s41578-020-00243-2 ↗
15. Appl. Sci. · 2020 · 11 · 14110.3390/app11010141 ↗
16. New J. Phys. · 2018 · 20 · 07300110.1088/1367-2630/aacba1 ↗
17. Nano Lett. · 2019 · 19 · 841810.1021/acs.nanolett.9b02477 ↗
18. Sci. Rep. · 2018 · 8 · 1010310.1038/s41598-018-27741-2 ↗
19. Science · 2014 · 343 · 16010.1126/science.1242818 ↗
20. Appl. Phys. Lett. · 2017 · 110 · 01190410.1063/1.4973705 ↗
21. J. Appl. Phys. · 2018 · 123 · 09170410.1063/1.5004617 ↗
22. Acta Mech. Sin. · 2021 · 37 · 137110.1007/s10409-021-01139-2 ↗
23. Sci. Rep. · 2017 · 7 · 1366710.1038/s41598-017-13733-1 ↗
24. J. Appl. Phys. · 1979 · 50 · 518910.1063/1.326656 ↗
25. J. Opt. Soc. Am. A · 2020 · 37 · 174810.1364/josaa.401908 ↗
26. 2010
27. Appl. Opt. · 2009 · 48 · 613210.1364/ao.48.006132 ↗
28. Opt. Lett. · 2020 · 45 · 441610.1364/ol.393111 ↗
29. Opt. Express · 2020 · 28 · 3991610.1364/oe.413636 ↗
30. 2008
31. Int. J. Gen. Syst. · 2014 · 43 · 68210.1080/03081079.2014.920997 ↗
32. Opt. Lett. · 2017 · 42 · 119710.1364/ol.42.001197 ↗
33. H. Rajabalipanah, A. Momeni, M. Rahmanzadeh, A. Abdolali, and R. Fleury, arXiv:2110.07473 [physics] (2021).
34. Opt. Lett. · 2016 · 41 · 346710.1364/ol.41.003467 ↗
35. Sci. Rep. · 2019 · 9 · 1292810.1038/s41598-019-49204-y ↗
36. Opt. Lett. · 2015 · 40 · 523910.1364/ol.40.005239 ↗
37. Adv. Opt. Mater. · 2019 · 8 · 190152310.1002/adom.201901523 ↗
38. Light: Sci. Appl. · 2016 · 5 · e1603410.1038/lsa.2016.34 ↗
39. Nat. Photonics · 2010 · 4 · 26110.1038/nphoton.2010.94 ↗
40. Nat. Photonics · 2020 · 14 · 31610.1038/s41566-020-0591-3 ↗
41. Opt. Express · 2014 · 22 · 2508410.1364/oe.22.025084 ↗
42. Opt. Express · 2020 · 28 · 89810.1364/oe.379492 ↗
43. J. Appl. Phys. · 2020 · 127 · 12310110.1063/1.5141057 ↗
44. Phys. Rev. Lett. · 2018 · 121 · 17300410.1103/physrevlett.121.173004 ↗
45. Science · 2019 · 363 · 133310.1126/science.aaw2498 ↗
46. Nat. Commun. · 2017 · 8 · 1539110.1038/ncomms15391 ↗
47. Nat. Commun. · 2019 · 10 · 205810.1038/s41467-019-10086-3 ↗
48. Nanophotonics · 2020 · 9 · 407510.1515/nanoph-2020-0285 ↗
49. Nat. Photonics · 2015 · 9 · 70410.1038/nphoton.2015.208 ↗
50. Optica · 2018 · 5 · 25110.1364/optica.5.000251 ↗