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B. Keith Jenkins

Researcher at University of Southern California

Publications -  35
Citations -  771

B. Keith Jenkins is an academic researcher from University of Southern California. The author has contributed to research in topics: Holography & Photonics. The author has an hindex of 13, co-authored 35 publications receiving 763 citations. Previous affiliations of B. Keith Jenkins include United States Air Force Academy.

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Patent

Modulator-based photonic chip-to-chip interconnections for dense three-dimensional multichip module integration

TL;DR: In this article, a planar-waveguide-based optical power bus is used to provide a parallel array of beams to read out a modulator array that is flip-chip bonded to each silicon substrate.
Journal ArticleDOI

First-harmonic diffusion model for holographic grating formation in photopolymers

TL;DR: In this article, a model with which to describe and predict the formation of gratings during exposure in holographic photopolymers is presented, which combines the action of photopolymerization and of free-monomer diffusion during holographic exposures.
Patent

Incoherent/coherent double angularly multiplexed volume holographic optical elements

TL;DR: In this paper, the authors proposed a parallel incoherent/coherent double angularly multiplexed volume holographic recording and readout (DVMHO) optical element for the development of holographic memory systems with maximum optical throughput efficiency and minimum crosstalk.
Patent

Incoherent/coherent source array for multiplexed holographic recording and readout

TL;DR: In this paper, the authors proposed a novel source array comprising a plurality of sources of optical illumination that are at once both individually coherent and mutually incoherent, which can provide the requisite optical source beams in a novel architecture and associated apparatus for the development of highly multiplexed photonic interconnection networks and holographic optical elements with maximum optical throughput efficiency and minimum interchannel crosstalk.
Journal ArticleDOI

A Neural Network Model for Pitch Perception

TL;DR: A neural network model is proposed to examine the sensitivity discrepancy in general and pitch perception in particular, with emphasis on the neural representation of pitch perception.