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Ramon G. Carvajal

Researcher at University of Seville

Publications -  289
Citations -  5206

Ramon G. Carvajal is an academic researcher from University of Seville. The author has contributed to research in topics: CMOS & Operational amplifier. The author has an hindex of 32, co-authored 287 publications receiving 4721 citations. Previous affiliations of Ramon G. Carvajal include Epson & New Mexico State University.

Papers
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Proceedings ArticleDOI

Power efficient fully differential low-voltage two stage class AB/AB op-amp architectures

TL;DR: New low-voltage two stage fully differential class AB/AB op-amp architectures with high slew rate and rail-to-rail operation with a single supply voltage are introduced.
Journal ArticleDOI

Rail-to-rail fully differential sample and hold based on differential difference amplifier

TL;DR: In this article, a high-performance rail-to-rail sample and hold circuit is presented based on a class AB fully differential rail to-rail differential difference amplifier, which has SFDR = 69.5 dB with plusmn 1.25 V supplies, 2 MHz clock and 2V pp, 200 kHz input signals.
Journal ArticleDOI

A tunable highly linear CMOS transconductor with 80dB of SFDR

TL;DR: In this paper, a tunable CMOS differential transconductor with an SFDR ranging from 80 to 94dB was proposed. But the proposed trans-conductor is based on a core of two voltage buffers with local feedback loops to achieve low-output impedance.
Journal ArticleDOI

Design of Two-Stage Class AB CMOS Buffers: A Systematic Approach

TL;DR: In this paper, a two-stage class AB CMOS unity gain buffer is proposed based on a simple technique that does not modify quiescent currents, supply requirements, noise performance, or static power.
Proceedings ArticleDOI

A CMOS transconductor with 90 dB SFDR and low sensitivity to mismatch

TL;DR: A new CMOS transconductor amplifier able to achieve 90dB of SFDR is presented, based in the creation of low impedance nodes using local feedback to drive a degeneration resistor, thus improving significantly the linearity and the robustness against mismatch.