Digital Signal Processing

1908 Submissions

[2] viXra:1908.0275 [pdf] submitted on 2019-08-14 02:34:20

Diffractive Neural Network

Authors: George Rajna
Comments: 49 Pages.

A new paper in Advanced Photonics demonstrates distinct improvements to the inference and generalization performance of diffractive optical neural networks. [29] A team of researchers from the University of Münster, the University of Oxford and the University of Exeter has built an all-optical neural network on a single chip. [28] Physicists from Petrozavodsk State University have proposed a new method for oscillatory neural network to recognize simple images. Such networks with an adjustable synchronous state of individual neurons have, presumably, dynamics similar to neurons in the living brain. [27] Navid Borhani, a research-team member, says this machine learning approach is much simpler than other methods to reconstruct images passed through optical fibers, which require making a holographic measurement of the output. [26]
Category: Digital Signal Processing

[1] viXra:1908.0259 [pdf] submitted on 2019-08-12 10:58:34

Improve Optical Data Transmission

Authors: George Rajna
Comments: 80 Pages.

Engineers at the University of Illinois have found a way to redirect misfit light waves to reduce energy loss during optical data transmission. [43] Engineers at the University of California San Diego have developed the thinnest optical device in the world—a waveguide that is three layers of atoms thin. [42] A group of researchers led by Professor Myakzyum Salakhov has been working on the problem of optical states in plasmonic-photonic crystals (PPCs). [41] Such plasmonic resonances have significant roles in biosensing with ability to improve the resolution and sensitivity required to detect particles at the scale of the single molecule. [40]
Category: Digital Signal Processing