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Jonathan Emmanuel D Narinx

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Related publications (5)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

A 24 kb Single-Well Mixed 3T Gain-Cell eDRAM with Body-Bias in 28 nm FD-SOI for Refresh-Free DSP Applications

Yusuf Leblebici, Andreas Peter Burg, Cosimo Aprile, Andrea Bonetti, Nicolas Claude Frigerio, Robert Giterman, Jonathan Emmanuel D Narinx

Logic-compatible gain-cell embedded DRAM (GC-eDRAM) is an emerging alternative to conventional SRAM for memory-dominated system-on-chip (SoC) designs due to its high-density, low-power, and two-ported operation. Although GCs have a limited data retention t ...

IEEE2019

A Real-Time Multi-Camera Depth Estimation ASIC with Custom On-Chip Embedded DRAM

Jonathan Emmanuel D Narinx

The capability to process high-resolution videos in real-time is becoming more important in a wide variety of applications such as autonomous vehicles, virtual reality or intelligent surveillance systems. The high-accuracy and complex video processing algo ...

EPFL2019

A Single-chip 2048x1080 Resolution 32fps 380mW Trinocular Disparity Estimation Processor in 28nm CMOS Technology

Yusuf Leblebici, Abdulkadir Akin, Tugba Demirci, Jonathan Emmanuel D Narinx

This paper presents a single-chip trinocular disparity estimation processor, capable of computing in real-time up to 2048×1080 resolution depth maps at 32fps with up to 256-pixel disparity range using two/three CMOS camera sensors. The most important featu ...

2017