Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Devarshi Mrinal Das"'
Publikováno v:
Memories - Materials, Devices, Circuits and Systems, Vol 5, Iss , Pp 100081- (2023)
For cognitive tasks and classifications, neuromorphic systems have shown great potential. This paper presents a novel architecture using CMOS memristive synapses where the memristors are trained using the Hebbian rule, and the winner-take-all mechani
Externí odkaz:
https://doaj.org/article/5d57f05c0fbf4ce5ad72797fe4daa718
Optimization of Slew Mitigation Capacitor in Passive Charge Compensation-Based Delta–Sigma Modulator
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 70:1821-1825
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. :1-11
Publikováno v:
2022 IEEE International Symposium on Smart Electronic Systems (iSES).
Publikováno v:
2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS).
Publikováno v:
IET Circuits, Devices & Systems. 14:702-706
Simultaneous measurement of neural bio-potentials from a large number of neurons is finding applications in a diverse range of areas such as healthcare and brain-machine interfacing. Neural amplifiers used for these measurements have a tight specific
Publikováno v:
IET Circuits, Devices & Systems. 14:327-332
This study presents an adaptive analogue calibration method to compensate electrode-skin impedance mismatch during biopotential signal (electrocardiogram, electroencephalogram and electromyogram) acquisition with enhanced immunity to electromagnetic
Autor:
Shubham Kumar, Devarshi Mrinal Das
Publikováno v:
2021 IEEE International Symposium on Smart Electronic Systems (iSES).
Publikováno v:
2021 IEEE International Symposium on Smart Electronic Systems (iSES).
Publikováno v:
VDAT
The enhanced performance of neuromorphic computing over conventional Von Neumann computing results in high accuracy, energy and area efficient operations. The energy efficient neuromorphic systems process the information in the form of spikes. Neural