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We study the intensity distribution function, P(I), for monochromatic waves propagating in quasi one-dimensional disordered medium, assuming that a point source and a point detector are embedded in the bulk of the medium. We find deviations…

Condensed Matter · Physics 2009-10-31 A. D. Mirlin , R. Pnini , B. Shapiro

In this paper, we analyze the capacity of multiple-input multiple-output (MIMO) Rayleigh-fading channels in the presence of spatial fading correlation at both the transmitter and the receiver, assuming that the channel is unknown at the…

Information Theory · Computer Science 2016-11-18 Hyundong Shin , Moe Z. Win , Jae Hong Lee , Marco Chiani

A fundamental task in wireless communication is channel estimation: Compute the channel parameters a signal undergoes while traveling from a transmitter to a receiver. In the case of delay-Doppler channel, i.e., a signal undergoes only…

Information Theory · Computer Science 2013-09-25 Alexander Fish , Shamgar Gurevich

In time-varying fading channels, channel coefficients are estimated using pilot symbols that are transmitted every coherence interval. For channels with high Doppler spread, the rapid channel variations over time will require considerable…

Information Theory · Computer Science 2022-03-24 Sandesh Rao Mattu , Lakshmi Narasimhan T , A. Chockalingam

We analyze a class of Generalized Two-Ray (GTR) fading channels that consist of two line of sight (LOS) components with random phase plus a diffuse component. We derive a closed form expression for the moment generating function (MGF) of…

Information Theory · Computer Science 2020-04-02 Milind Rao , F. Javier Lopez-Martinez , Mohamed-Slim Alouini , Andrea Goldsmith

We report the similarity between the Nakagami-m fading distribution and the three Gaussian ensembles of random matrix theory. We provide a brief review of random matrix theory and wireless fading. We show that the Nakagami-m distribution…

Information Theory · Computer Science 2018-04-26 Sherif M. Abuelenin

This letter analyses the effective capacity of communications system using unified models. In order to obtain a simple closed-form mathematically tractable expression, two different unified approximate models have been used. The mixture…

Information Theory · Computer Science 2018-04-26 H. Al-Hmood , H. S. Al-Raweshidy

The "near-field" propagation modeling of wireless channels is necessary to support sixth-generation (6G) technologies, such as intelligent reflecting surface (IRS), that are enabled by large aperture antennas and higher frequency carriers.…

Information Theory · Computer Science 2024-03-12 Navneet Agrawal , Ehsan Tohidi , Renato L. G. Cavalcante , Sławomir Stańczak

We propose a message passing algorithm for tracking of clutter signals in MIMO radar. The method exploits basis expansion to linearise the signal model, to enable mean field approach for tracking the posterior distribution of the clutter as…

Signal Processing · Electrical Eng. & Systems 2025-03-25 Anders Malthe Westerkam , Troels Pedersen

This work is devoted to the formulation and derivation of the $\alpha{-}\kappa{-}\mu{/}$gamma distribution which corresponds to a physical fading model. The proposed distribution is composite and is constituted by the…

Information Theory · Computer Science 2015-05-15 Paschalis C. Sofotasios , Steven Freear

We design a receiver assembling several photomultipliers (PMTs) as an array to increase the field of view (FOV) of the receiver and adapt to multiuser situation over None-line-of-sight (NLOS) ultraviolet (UV) channels. Channel estimation…

Information Theory · Computer Science 2023-04-26 Yubo Zhang , Yuchen Pan , Chen Gong , Beiyuan Liu , Zhengyuan Xu

A deraining network can be interpreted as a conditional generator that aims at removing rain streaks from image. Most existing image deraining methods ignore model errors caused by uncertainty that reduces embedding quality. Unlike existing…

Image and Video Processing · Electrical Eng. & Systems 2021-06-22 Chenghao Chen , Hao Li

Machine learning methods rely on data. However, gathering suitable data can be challenging due to availability constraints, cost, or the need for domain expertise. Expanding datasets with additional sources is a common response to limited…

Machine Learning · Computer Science 2026-05-25 Xavier Cadet , Mateusz Nowak , Peter Chin

In this letter, some applications of wireless communication systems over $\alpha-\eta-\kappa-\mu$ fading channels are analysed. More specifically, the effective rate and the average of both the detection probability and area under the…

Information Theory · Computer Science 2019-09-17 Hussien Al-Hmood , H. S. Al-Raweshidy

The accuracy of traditional localization methods significantly degrades when the direct path between the wireless transmitter and the target is blocked or non-penetrable. This paper proposes N2LoS, a novel approach for precise…

Signal Processing · Electrical Eng. & Systems 2025-05-14 Zhenguo Shi , Yihe Yan , Yanxiang Wang , Wen Hu , Chun Tung Chou

The fast motion of Low Earth Orbit (LEO) satellites causes the propagation channel to vary rapidly, and its behavior is strongly shaped by the surrounding environment, especially at low elevation angles where signals are highly susceptible…

Networking and Internet Architecture · Computer Science 2026-03-27 Jingyi Tian , Lin Cai

Correlated ${\cal G}$ distributions can be used to describe the clutter seen in images obtained with coherent illumination, as is the case of B-scan ultrasound, laser, sonar and synthetic aperture radar (SAR) imagery. These distributions…

Methodology · Statistics 2012-07-10 O. H. Bustos , A. G. Flesia , A. C. Frery , M. M. Lucini

Existing studies on ultraviolet (UV) non-line-of-sight (NLoS) channel modeling primarily focus on scenarios without any obstacle, which makes them unsuitable for small transceiver elevation angles in most cases. To address this issue, a UV…

Signal Processing · Electrical Eng. & Systems 2025-06-27 Tianfeng Wu , Fang Yang , Tian Cao , Ling Cheng , Yupeng Chen , Jian Song , Julian Cheng , Zhu Han

We introduce a Cascaded Diffusion Model (Cas-DM) that improves a Denoising Diffusion Probabilistic Model (DDPM) by effectively incorporating additional metric functions in training. Metric functions such as the LPIPS loss have been proven…

Computer Vision and Pattern Recognition · Computer Science 2024-01-05 Jie An , Zhengyuan Yang , Jianfeng Wang , Linjie Li , Zicheng Liu , Lijuan Wang , Jiebo Luo

The diffraction of a scalar plane wave from a doubly-periodic surface on which either the Dirichlet or Neumann boundary condition is imposed is studied by means of a rigorous numerical solution of the Rayleigh equation for the amplitudes of…