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In clinical diagnosis, diagnostic images that are obtained from the scanning devices serve as preliminary evidence for further investigation in the process of delivering quality healthcare. However, often the medical image may contain fault…

Image and Video Processing · Electrical Eng. & Systems 2022-01-19 Karthik K , Sowmya Kamath S

Analog-domain operations offer a promising solution to accelerating signal processing and enabling future multiple-input multiple-output (MIMO) communications with thousands of antennas. In Part I of this paper, we have introduced a…

Information Theory · Computer Science 2025-12-04 Matteo Nerini , Bruno Clerckx

Many creative ideas are being proposed for image sensor designs, and these may be useful in applications ranging from consumer photography to computer vision. To understand and evaluate each new design, we must create a corresponding image…

Computer Vision and Pattern Recognition · Computer Science 2017-10-11 Haomiao Jiang , Qiyuan Tian , Joyce Farrell , Brian Wandell

Sparse linear system solvers are computationally expensive kernels that lie at the heart of numerous applications. This paper proposes a flexible preconditioning framework to substantially reduce the time and energy requirements of this…

Emerging Technologies · Computer Science 2021-07-16 Vasileios Kalantzis , Anshul Gupta , Lior Horesh , Tomasz Nowicki , Mark S. Squillante , Chai Wah Wu

Research in photonic computing has flourished due to the proliferation of optoelectronic components on photonic integration platforms. Photonic integrated circuits have enabled ultrafast artificial neural networks, providing a framework for…

Cross-correlation is an established tool to reduce the background in resistance noise measurements. However, the conventional method requires the amplifier, demodulator and digitizer channels to be duplicated, increasing the cost and…

Instrumentation and Detectors · Physics 2026-05-21 Tim Thyzel

The rapidly increasing demands for computational throughput, bandwidth, and memory capacity fueled by breakthroughs in machine learning pose substantial challenges for conventional electronic computing platforms. For digital scaling to keep…

Hyperspectral imaging aims at providing information on both the spatial and the spectral distribution of light, with high resolution. However, state-of-the-art protocols are characterized by an intrinsic trade-off imposing to sacrifice…

Optics · Physics 2024-07-22 Gianlorenzo Massaro , Francesco V. Pepe , Milena D'Angelo

Digital cameras are commonly used for diagnostic purposes in large-scale physics experiments. A typical image diagnostic system consists of an optical setup, digital camera, frame grabber, image processing CPU, and data analysis tool. The…

Image and Video Processing · Electrical Eng. & Systems 2020-10-30 D. Makowski , A. Mielczarek

Nowadays, Cellular Neural Networks (CNN) are practically implemented in parallel, analog computers, showing a fast developing trend. Physicist must be aware that such computers are appropriate for solving in an elegant manner practically…

Disordered Systems and Neural Networks · Physics 2016-02-17 Mária Ercsey-Ravasz , Tamás Roska , Zoltán Néda

Digital-to-analog converters (DAC) are indispensable functional units in signal processing instrumentation and wide-band telecommunication links for both civil and military applications. Since photonic systems are capable of high data…

Signal Processing · Electrical Eng. & Systems 2020-12-07 Jiawei Meng , Mario Miscuglio , Jonathan K. George , Aydin Babakhani , Volker J. Sorger

Optical computing accelerators may help alleviate bandwidth and power consumption bottlenecks in electronics. We show an approach to implementing logarithmic-type analog co-processors in silicon photonics and use it to perform the…

Optics · Physics 2016-04-20 Yunshan Jiang , Peter T. S. DeVore , Bahram Jalali

A novel algorithm for tunable compression to within the precision of reproduction targets, or storage, is proposed. The new algorithm is termed the `Perceptron Algorithm', which utilises simple existing concepts in a novel way, has multiple…

Computer Vision and Pattern Recognition · Computer Science 2007-05-23 Vassilios S. Vassiliadis

This paper presents a new paradigm for image transmission through analog error correction codes. Conventional schemes rely on digitizing images through quantization (which inevitably causes significant bandwidth expansion) and transmitting…

Multimedia · Computer Science 2011-08-04 Yang Liu , Jing , Li , Kai Xie

The computational demands of modern AI have spurred interest in optical neural networks (ONNs) which offer the potential benefits of increased speed and lower power consumption. However, current ONNs face various challenges,most…

Neural and Evolutionary Computing · Computer Science 2024-01-29 Xiansong Meng , Deming Kong , Kwangwoong Kim , Qiuchi Li , Po Dong , Ingemar J. Cox , Christina Lioma , Hao Hu

Since camera modules become more and more affordable, multispectral camera arrays have found their way from special applications to the mass market, e.g., in automotive systems, smartphones, or drones. Due to multiple modalities, the…

Image and Video Processing · Electrical Eng. & Systems 2024-11-08 Frank Sippel , Nils Genser , Hannah Och , Jürgen Seiler , André Kaup

The inversion of linear systems is a fundamental step in many inverse problems. Computational challenges exist when trying to invert large linear systems, where limited computing resources mean that only part of the system can be kept in…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-05 Yushan Gao , Thomas Blumensath

Beyond 100G passive optical networks (PONs) will be required to meet the ever-increasing traffic demand in the future. Coherent optical technologies are the competitive solutions for the future beyond 100G PON but also face challenges such…

Information Theory · Computer Science 2023-06-21 Haide Wang , Ji Zhou , Jinyang Yang , Jianrui Zeng , Weiping Liu , Changyuan Yu , Fan Li , Zhaohui Li

One image processing application that is very helpful for humans is to improve image quality, poor image quality makes the image more difficult to interpret because the information conveyed by the image is reduced. In the process of the…

Image and Video Processing · Electrical Eng. & Systems 2019-02-19 Rini Mayasari , Nono Heryana

In task-based quantization, a multivariate analog signal is transformed into a digital signal using a limited number of low-resolution analog-to-digital converters (ADCs). This process aims to minimize a fidelity criterion, which is…

Information Theory · Computer Science 2024-02-05 Marian Temprana Alonso , Farhad Shirani , Neil Irwin Bernardo , Yonina C. Eldar
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