P
Payam Heydari
Researcher at University of California, Irvine
Publications - 240
Citations - 5491
Payam Heydari is an academic researcher from University of California, Irvine. The author has contributed to research in topics: CMOS & Phase-locked loop. The author has an hindex of 36, co-authored 231 publications receiving 4780 citations. Previous affiliations of Payam Heydari include K.N.Toosi University of Technology & Qazvin University of Medical Sciences.
Papers
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Journal ArticleDOI
Synthesis and application of nanoporous triple-shelled CuAl2O4 hollow sphere catalyst for atmospheric chemical fixation of carbon dioxide
Payam Heydari,A. Hafizi,Maryam Rajabzadeh,Mohammad Karimi,Reza Khalifeh,Mohammad Reza Rahimpour +5 more
TL;DR: In this paper, a triple-shell structure of a copper-alumina spinel hollow sphere was applied as a novel catalyst for the cycloaddition of CO2 at atmospheric pressure.
Proceedings ArticleDOI
19.1 A fundamental-frequency 114GHz circular-polarized radiating element with 14dBm EIRP, −99.3dBc/Hz phase-noise at 1MHz offset and 3.7% peak efficiency
TL;DR: This work introduces a high-efficiency and high-power multiport element, which can concurrently perform as a resonator, a power combiner, and a radiator, thereby avoiding the coupling networks and antenna buffers.
Book
Silicon-Based RF Front-Ends for Ultra Wideband Radios
TL;DR: "Silicon-Based RF Front-Ends for UWB Radios" comprehensively studies silicon-based distributed architectures in wide band circuits and introduces a novel distributed direct conversion RF front-end (DDC-RF), which combines the wide band distributed approach with IQ requirement of a direct conversion receiver.
Proceedings ArticleDOI
High-frequency noise in RF active CMOS mixers
TL;DR: In this paper, a new analytical model for high-frequency noise in RF active CMOS mixers such as single-balanced and double-balanced architectures is presented, which includes the contribution of non-white gate-induced noise at the output as well as the spot noise figure (NF) of the RF CMOS mixer, while accounting for the non-zero correlation between the gateinduced noise and the channel thermal noise.
Journal ArticleDOI
An Energy-Efficient CMOS Dual-Mode Array Architecture for High-Density ECoG-Based Brain-Machine Interfaces
Omid Malekzadeh-Arasteh,Haoran Pu,Jeffrey Lim,Charles Y. Liu,An H. Do,Zoran Nenadic,Payam Heydari +6 more
TL;DR: An energy-efficient electrocorticography (ECoG) array architecture for fully-implantable brain machine interface systems and a novel dual-mode analog signal processing method that extracts neural features from high-band band at the early stages of signal acquisition is presented.