Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Rabindranath Nandi"'
Publikováno v:
Active and Passive Electronic Components, Vol 2017 (2017)
A linear voltage controlled quadrature oscillator implemented from a first-order electronically tunable all-pass filter (ETAF) is presented. The active element is commercially available current feedback amplifier (AD844) in conjunction with the relat
Externí odkaz:
https://doaj.org/article/880d2ddf5cae4def8360e1b2314765c6
Autor:
Koushick Mathur, Rabindranath Nandi
Publikováno v:
IETE Journal of Research. :1-8
Autor:
Rabindranath Nandi, Koushick Mathur
Publikováno v:
IETE Journal of Research. :1-6
A new electronically tunable allpass filter (ETAF) using a voltage variable inductor (VVI) is presented. The design is based on a composite CFA (Current Feedback Amplifier)–voltage tunable current ...
Publikováno v:
International Journal of Electronics Letters. 9:65-75
Electronically tunable synthesis of immittances viz., inductor (L) and FDNR (D), using the voltage tunable current conveyor transadmittance amplifier (VTCCTA) block is presented. Design of selectiv...
Publikováno v:
IEICE Electronics Express. 19:20220112-20220112
Publikováno v:
IEICE Communications Express. 7:415-420
Publikováno v:
IET Circuits, Devices & Systems. 12:157-163
New realisation scheme of linear voltage-controlled quadrature oscillator (QO) is proposed. The active building block is electronically tunable (ET) differential voltage current conveyor transconductance (gm ) amplifier configured with current feedba
Publikováno v:
IETE Journal of Research. 63:713-718
A new electronically tunable differential input integrator (ETDII) using the composite current feedback amplifier (CFA) and multiplication-mode current conveyor (MMCC) building block is presented, wherein the control voltage (Vc) of the MMCC tunes it
Publikováno v:
IEICE Electronics Express. 17:20190738-20190738
Publikováno v:
2018 IEEE Radio and Antenna Days of the Indian Ocean (RADIO).
An ANN based spectrum sensing technique for audio FM and the wireless microphone signals in TV band is proposed. The artificial neural network (ANN) model trained with the autocorrelation peaks of the signal in channel identifies it as a white space