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Time series forecasting is an important challenge with significant applications in areas such as weather prediction, stock market analysis, scientific simulations and industrial process analysis. In this work, we introduce LMS-AutoTSF, a…

Machine Learning · Computer Science 2025-01-08 Ibrahim Delibasoglu , Sanjay Chakraborty , Fredrik Heintz

The principle of Correlation Optical Time Domain Reflectometry (C-OTDR) is proposed to accurately measure the propagation delay over a multi-span optical fiber link. The delay of the transmission fiber is measured in the reflective mode,…

Signal Processing · Electrical Eng. & Systems 2019-12-12 Michael H. Eiselt , Florian Azendorf

For doubly-selective channels, delay-Doppler (DD) modulation, mostly known as orthogonal time frequency space (OTFS) modulation, enables simultaneous compensation of delay and Doppler shifts. However, OTFS modulated signal has high…

Information Theory · Computer Science 2024-03-26 Yuto Hama , Hideki Ochiai

In this article, we develop comprehensive frequency domain methods for estimating and inferring the second-order structure of spatial point processes. The main element here is on utilizing the discrete Fourier transform (DFT) of the point…

Methodology · Statistics 2025-01-24 Junho Yang , Yongtao Guan

Masked diffusion language models (MDLMs) promise fast, non-autoregressive text generation, yet existing samplers, which pick tokens to unmask based on model confidence, ignore interactions when unmasking multiple positions in parallel and…

Computation and Language · Computer Science 2026-05-26 Omer Luxembourg , Haim Permuter , Eliya Nachmani

Near-field (NF) line-of-sight (LoS) MIMO systems enable efficient channel state information (CSI) acquisition and precoding by exploiting known antenna geometries at both the base station (BS) and user equipment (UE). This paper introduces…

Signal Processing · Electrical Eng. & Systems 2025-05-08 Shima Eslami , Bikshapathi Gouda , Antti Tölli

In this paper we study the identification of a time-varying linear system from its response to a known input signal. More specifically, we consider systems whose response to the input signal is given by a weighted superposition of delayed…

Information Theory · Computer Science 2021-01-11 Reinhard Heckel , Veniamin I. Morgenshtern , Mahdi Soltanolkotabi

Orthogonal time frequency space (OTFS) modulation is a recently proposed multi-carrier transmission scheme, which innovatively multiplexes the information symbols in the delay-Doppler (DD) domain instead of the conventional time-frequency…

Information Theory · Computer Science 2022-08-26 Shuangyang Li

In this paper, we propose a novel channel estimation technique based on 2D spread pilots. The merits of this technique are its simplicity, its flexibility regarding the transmission scenarios, and the spectral efficiency gain obtained…

Networking and Internet Architecture · Computer Science 2008-10-01 Oudomsack Pierre Pasquero , Matthieu Crussière , Youssef Nasser , Jean-François Hélard

Time-delay cosmography, by monitoring the multiply imaged gravitational lenses in the time domain, offers a promising and independent method for measuring cosmological distances. However, in addition to the main deflector that produces the…

Cosmology and Nongalactic Astrophysics · Physics 2025-10-01 Shijie Lin , Bin Hu , Chengliang Wei , Guoliang Li , Yiping Shu , Xinzhong Er , Zuhui Fan

Orthogonal time-frequency space (OTFS) is a potential waveform for integrated sensing and communications (ISAC) systems because it can manage communication and sensing metrics in one unified domain, and has better performance in high…

Signal Processing · Electrical Eng. & Systems 2025-04-08 Zhenyu Zhang , Qianli Wang , Gang Liu , FeiFei Gao , Pingzhi Fan

Future wireless communication systems must simultaneously address multiple challenges to ensure accurate data detection, deliver high Quality of Service (QoS), adding enable a high data transmission with low system design. Additionally,…

Information Theory · Computer Science 2024-10-03 Amina Darghouthi , Abdelhakim Khlifi , Belgacem Chibani

This work proposes a novel deep network architecture to solve the camera Ego-Motion estimation problem. A motion estimation network generally learns features similar to Optical Flow (OF) fields starting from sequences of images. This OF can…

Computer Vision and Pattern Recognition · Computer Science 2018-02-16 Gabriele Costante , Thomas A. Ciarfuglia

We consider a simple mean reverting diffusion process, with piecewise constant drift and diffusion coefficients, discontinuous at a fixed threshold. We discuss estimation of drift and diffusion parameters from discrete observations of the…

Statistics Theory · Mathematics 2024-03-12 Sara Mazzonetto , Paolo Pigato

The stringent link budget, caused by long propagation distances and payload constraints, poses a fundamental bottleneck for single-satellite transmission. Although LEO mega-constellations make multi-satellite cooperative transmission…

Signal Processing · Electrical Eng. & Systems 2026-03-31 Yiming Zhu , Yafei Wang , Carla Amatetti , Alessandro Vanelli-Coralli , Wenjin Wang , Rui Ding , Symeon Chatzinotas , Björn Ottersten

In this paper, we rethink delay Doppler channels (also called doubly selective channels). We prove that no modulation schemes (including the current active VOFDM/OTFS) can compensate a non-trivial Doppler spread well. We then discuss some…

Signal Processing · Electrical Eng. & Systems 2025-04-01 Xiang-Gen Xia

In this work we propose a novel approach to utilize convolutional neural networks for time series forecasting. The time direction of the sequential data with spatial dimensions $D=1,2$ is considered democratically as the input of a…

Machine Learning · Computer Science 2020-01-13 Matthias Weissenbacher

The OTFS (Orthogonal Time Frequency Space) is widely acknowledged for its ability to combat Doppler spread in time-varying channels. In this paper, another advantage of OTFS over OFDM (Orthogonal Frequency Division Multiplexing) will be…

Signal Processing · Electrical Eng. & Systems 2024-08-20 Zijun Gong , Fan Jiang , Yuhui Song , Cheng Li , Xiaofeng Tao

Having established that Zadoff-Chu (ZC) sequences are inherently linear micro-frequency hopping (lmFH) symbols, this paper first presents an intuitive and visual exposition of the computation of the DFT and IDFT of ZC sequences using the…

Information Theory · Computer Science 2025-08-01 Fanping Du

Accurate estimation of DL CSI is required to achieve high spectrum and energy efficiency in massive MIMO systems. Previous works have developed learning-based CSI feedback framework within FDD systems for efficient CSI encoding and recovery…

Information Theory · Computer Science 2022-01-11 Yu-Chien Lin , Ta-Sung Lee , Zhi Ding