scispace - formally typeset
R

Ricardo Carmona-Galan

Researcher at Spanish National Research Council

Publications -  149
Citations -  1325

Ricardo Carmona-Galan is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Pixel & CMOS. The author has an hindex of 15, co-authored 144 publications receiving 1114 citations. Previous affiliations of Ricardo Carmona-Galan include University of Seville.

Papers
More filters
Journal ArticleDOI

ACE16k: the third generation of mixed-signal SIMD-CNN ACE chips toward VSoCs

TL;DR: The ACE16k as mentioned in this paper is a member of the third generation of the ACE chips, which is designed in a 0.35-/spl mu/m standard CMOS technology, and exhibits peak computing figures of 330 GOPS, 3.6 GOPS/mm/sup 2/ and 82.5 GOPS /W.
Journal ArticleDOI

Reaction-diffusion navigation robot control: from chemical to VLSI analogic processors

TL;DR: A new methodology and experimental implementations for real-time wave-based robot navigation in a complex, dynamically changing environment is introduced and principles of computation in reaction-diffusion (RD) nonlinear active media where autowaves are used for information processing purposes can be considered as RD computing devices.
Journal ArticleDOI

FLIP-Q: A QCIF Resolution Focal-Plane Array for Low-Power Image Processing

TL;DR: A 176×144-pixel smart image sensor designed and fabricated in a 0.35 CMOS-OPTO process and fully functional, which implements a massively parallel focal-plane processing array which can output different simplified representations of the scene at very low power.
Journal ArticleDOI

CMOS-3D Smart Imager Architectures for Feature Detection

TL;DR: The paper describes the different kind of algorithms featured and the circuitry employed at top and bottom tiers, and the Gaussian pyramid is implemented with a switched-capacitor network in less than 50 μs, outperforming more conventional solutions.
Journal ArticleDOI

Early forest fire detection by vision-enabled wireless sensor networks

TL;DR: The last test carried out, involving the prescribed burning of a 95 × 20-m shrub plot, confirmed the high degree of reliability of the approach in terms of both successful early detection and a very low false-alarm rate.