His primary areas of investigation include Electronic engineering, Electrical engineering, Baseband, Transceiver and Frequency mixer. His research integrates issues of Electronic circuit, Neuromorphic engineering, Radio frequency, Noise figure and Impedance matching in his study of Electronic engineering. Electrical engineering and GSM are frequently intertwined in his study.
His Baseband research includes elements of Phase noise, Voltage-controlled oscillator, BiCMOS, Direct-conversion receiver and Phase-locked loop. His Transceiver study integrates concerns from other disciplines, such as Amplifier and Low-power electronics. Within one scientific family, Alyosha Molnar focuses on topics pertaining to Harmonic mixer under Frequency mixer, and may sometimes address concerns connected to Intermediate frequency and Harmonic.
His scientific interests lie mostly in Electronic engineering, Electrical engineering, CMOS, Pixel and Optoelectronics. His Electronic engineering research integrates issues from Electronic circuit, Baseband, Transceiver, Harmonic mixer and Amplifier. His Baseband research incorporates elements of Radio receiver design, Direct-conversion receiver, Radio frequency, Electrical impedance and Noise figure.
His research brings together the fields of Wireless and Electrical engineering. In Pixel, Alyosha Molnar works on issues like Image sensor, which are connected to Chip. His work deals with themes such as Single-photon avalanche diode and Electronics, which intersect with Optoelectronics.
Alyosha Molnar focuses on Electronic engineering, Electrical engineering, Optoelectronics, Radio frequency and CMOS. His Electronic engineering research includes elements of Transmitter, Duplex and Transceiver. The Signal research he does as part of his general Electrical engineering study is frequently linked to other disciplines of science, such as Calibration, therefore creating a link between diverse domains of science.
His Optoelectronics research incorporates themes from Optics and Electronics. In his work, Electrical impedance, Bandwidth, Chip, Noise figure and Local oscillator is strongly intertwined with Baseband, which is a subfield of Radio frequency. His CMOS research is multidisciplinary, incorporating elements of Electronic circuit and Logic gate.
Alyosha Molnar spends much of his time researching Optoelectronics, CMOS, Diode, Electrical engineering and Electronics. His Optoelectronics study combines topics in areas such as Bandwidth and Optics. His study in CMOS is interdisciplinary in nature, drawing from both Electronic circuit, Wideband, Baseband, Radio frequency and Electrical impedance.
His Electronic circuit study incorporates themes from Inductor, Duplex, Transceiver and Electronic engineering, Circulator. The concepts of his Diode study are interwoven with issues in Phase, Light field and Light-emitting diode. In his papers, he integrates diverse fields, such as Electrical engineering and Heterojunction bipolar transistor.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A Passive Mixer-First Receiver With Digitally Controlled and Widely Tunable RF Interface
Caroline Andrews;Alyosha C Molnar.
international solid state circuits conference (2010)
Low-power 2.4-GHz transceiver with passive RX front-end and 400-mV supply
Ben W. Cook;Axel Berny;Alyosha Molnar;Steven Lanzisera.
international solid-state circuits conference (2006)
Implications of Passive Mixer Transparency for Impedance Matching and Noise Figure in Passive Mixer-First Receivers
Caroline Andrews;Alyosha C Molnar.
system on chip conference (2010)
A single-chip quad-band (850/900/1800/1900 MHz) direct conversion GSM/GPRS RF transceiver with integrated VCOs and fractional-n synthesizer
A. Molnar;R. Magoon;G. Hatcher;J. Zachan.
international solid-state circuits conference (2002)
Monolithic Schottky-collector resonant tunnel diode oscillator arrays to 650 GHz
M. Reddy;S.C. Martin;A.C. Molnar;R.E. Muller.
IEEE Electron Device Letters (1997)
The In-Crowd Algorithm for Fast Basis Pursuit Denoising
P. R. Gill;Albert Wang;Alyosha Molnar.
IEEE Transactions on Signal Processing (2011)
Parallel processing in retinal ganglion cells: how integration of space-time patterns of excitation and inhibition form the spiking output.
Botond Roska;Alyosha Molnar;Frank S. Werblin.
Journal of Neurophysiology (2006)
An ultra-low power 900 MHz RF transceiver for wireless sensor networks
A. Molnar;B. Lu;S. Lanzisera;B.W. Cook.
custom integrated circuits conference (2004)
An Ultra-Low Power 2.4GHz RF Transceiver for Wireless Sensor Networks in 0.13/spl mu/m CMOS with 400mV Supply and an Integrated Passive RX Front-End
B.W. Cook;A.D. Berny;A. Molnar;S. Lanzisera.
international solid-state circuits conference (2006)
Neuromorphic event-driven neural computing architecture in a scalable neural network
Filipp Akopyan;John V. Arthur;Rajit Manohar;Paul A. Merolla.
(2012)
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