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Javier Beloso-Legarra

Researcher at University of Navarra

Publications -  7
Citations -  18

Javier Beloso-Legarra is an academic researcher from University of Navarra. The author has contributed to research in topics: Computer science & Amplifier. The author has an hindex of 1, co-authored 3 publications receiving 1 citations.

Papers
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Journal ArticleDOI

Gain-Boosted Super Class AB OTAs Based on Nested Local Feedback

TL;DR: In this article, a new approach to design super class AB operational transconductance amplifiers (OTAs) with enhanced large-signal and small-Signal performance is presented based on employing two nested positive and negative feedback loops at the active load of an adaptively biased differential pair in weak inversion region.
Journal ArticleDOI

Energy-efficient amplifiers based on quasi-floating gate techniques

TL;DR: In this article, the authors illustrate different QFG circuit design techniques aimed to implement low-voltage, energy-efficient class AB amplifiers, including a new super class AB QFG amplifier, including some of the techniques described.
Journal ArticleDOI

Two-Stage OTA With All Subthreshold MOSFETs and Optimum GBW to DC-Current Ratio

TL;DR: An approach for the design of two-stage class-AB OTAs with sub-current consumption is proposed and demonstrated in this article , which employs MOS transistors operating in sub-threshold and allows maximum gain-bandwidth product (GBW) to be achieved for a given DC current budget, by setting optimum distribution of DC currents in the two amplifier stages.
Journal ArticleDOI

A family of AC amplifiers for ultra-low frequency operation

TL;DR: A family of capacitively coupled alternating current amplifiers featuring ultra‐low (below 1 Hz) corner frequency is presented by using high‐gain devices which actively boost feedback resistance and thus reduce corner frequency.
Proceedings ArticleDOI

Single-Stage Class-AB Non-Linear Current Mirror OTA

TL;DR: In this paper , a single-stage class-AB operational transconductance amplifier (OTA) with enhanced large and small-signal performance is presented, which is biased in weak inversion to save power and employs a nonlinear current mirror as active load, leading a boosting current directly at the output branch.