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Uplink sensing is still a relatively unexplored scenario in integrated sensing and communication which can be used to improve positioning and sensing estimates. We introduce a pilot-based maximum likelihood, and a maximum a posteriori…

Signal Processing · Electrical Eng. & Systems 2024-06-13 Enrique T. R. Pinto , Markku Juntti

Media-based modulation (MBM) is a novel modulation technique that can improve the spectral efficiency of the existing wireless systems. In MBM, multiple radio frequency (RF) mirrors are placed near the transmit antenna(s) and are switched…

Information Theory · Computer Science 2021-01-07 Manish Mandloi , Devendra Singh Gurjar

We propose a data-driven algorithm for the maximum a posteriori (MAP) estimation of stochastic processes from noisy observations. The primary statistical properties of the sought signal is specified by the penalty function (i.e., negative…

Machine Learning · Computer Science 2018-02-14 Ha Q. Nguyen , Emrah Bostan , Michael Unser

The problem of signal detection using a flexible and general model is considered. Due to applicability and flexibility of sparse signal representation and approximation, it has attracted a lot of attention in many signal processing areas.…

Information Theory · Computer Science 2016-02-17 Mohsen Joneidi , Parvin Ahmadi , Mostafa Sadeghi , Nazanin Rahnavard

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

There is a dearth of publications on the subject of spreading-aided Orthogonal Time Frequency Space (OTFS) solutions, especially for Integrated Sensing and Communication (ISAC), even though Code Division Multiple Access (CDMA) assisted…

Signal Processing · Electrical Eng. & Systems 2025-02-13 Hugo Hawkins , Chao Xu , Lie-Liang Yang , Lajos Hanzo

This paper considers a simple on-off random multiple access channel, where n users communicate simultaneously to a single receiver over m degrees of freedom. Each user transmits with probability lambda, where typically lambda n < m << n,…

Information Theory · Computer Science 2009-03-09 Alyson K. Fletcher , Sundeep Rangan , Vivek K Goyal

Integrated sensing and communication (ISAC) has emerged as a pivotal technology for next-generation wireless communication and radar systems, enabling high-resolution sensing and high-throughput communication with shared spectrum and…

Signal Processing · Electrical Eng. & Systems 2026-02-16 Henglin Pu , Xuefeng Wang , Ajay Kumar , Lu Su , Husheng Li

In high-mobility scenarios with time-frequency doubly-selective channels, existing semantic communication systems suffer significant performance degradation. To address this issue, we propose a semantic communication framework that…

Signal Processing · Electrical Eng. & Systems 2026-05-29 Yu Zhang , Jiarui Yan , Yue Liu , Tenglun Ke , Yimeng Wang , Zhijin Qin

Receivers with joint channel estimation and signal detection using superimposed pilots (SP) can achieve high transmission efficiency in orthogonal time frequency space (OTFS) systems. However, existing receivers have high computational…

Information Theory · Computer Science 2024-04-16 Fupeng Huang , Qinghua Guo , Youwen Zhang , Yuriy Zakharov

Orthogonal time frequency space (OTFS) is a promising waveform in high mobility scenarios for it fully exploits the time-frequency diversity using a discrete Fourier transform (DFT) based two dimensional spreading. However, it trades off…

Signal Processing · Electrical Eng. & Systems 2023-11-22 Pu Yuan , Jin Liu , Dajie Jiang , Fei Qin

Intelligent reflecting surface (IRS) technology has become a crucial enabler for creating cost effective, innovative, and adaptable wireless communication environments. This study investigates an IRS-assisted orthogonal time frequency space…

Signal Processing · Electrical Eng. & Systems 2024-08-06 Sushmita Singh , Kuntal Deka , Sanjeev Sharma , Neelakandan Rajamohan

We consider the application of the factor graph framework for symbol detection on linear inter-symbol interference channels. Based on the Ungerboeck observation model, a detection algorithm with appealing complexity properties can be…

Information Theory · Computer Science 2022-11-28 Luca Schmid , Laurent Schmalen

Sampling rate is the bottleneck for spectrum sensing over multi-GHz bandwidth. Recent progress in compressed sensing (CS) initialized several sub-Nyquist rate approaches to overcome the problem. However, efforts to design CS reconstruction…

Information Theory · Computer Science 2011-02-15 Peng Zhang , Robert Qiu

Image super-resolution (SR) is an underdetermined inverse problem, where a large number of plausible high-resolution images can explain the same downsampled image. Most current single image SR methods use empirical risk minimisation, often…

Computer Vision and Pattern Recognition · Computer Science 2017-02-28 Casper Kaae Sønderby , Jose Caballero , Lucas Theis , Wenzhe Shi , Ferenc Huszár

State-of-the-art algorithms for sparse subspace clustering perform spectral clustering on a similarity matrix typically obtained by representing each data point as a sparse combination of other points using either basis pursuit (BP) or…

Machine Learning · Computer Science 2017-11-02 Abolfazl Hashemi , Haris Vikalo

This paper investigates over-the-air computation (AirComp) in the context of multiple-access time-varying multipath channels. We focus on a scenario where devices with high mobility transmit their sensing data to a fusion center (FC) for…

Information Theory · Computer Science 2024-03-19 Xinyu Huang , Henrik Hellstrom , Carlo Fischione

In this paper, channel estimation and data detection for multihop relaying orthogonal frequency division multiplexing (OFDM) system is investigated under time-varying channel. Different from previous works, which highly depend on the…

Information Theory · Computer Science 2012-05-25 Rui Min , Yik-Chung Wu

A near-field motion parameter estimation method is proposed. In contract to far-field sensing systems, the near-field sensing system leverages spherical-wave characteristics to enable full-vector location and velocity estimation. Despite…

Signal Processing · Electrical Eng. & Systems 2025-07-18 Chunwei Meng , Zhaolin Wang , Zhiqing Wei , Yuanwei Liu , Zhiyong Feng

In this paper, we propose light-emitting diode (LED) selection that can be applied not only to the conventional Multiple-Input Multiple-Output (MIMO) case, but also to a larger MIMO configuration of generalized LED index modulation (GLIM)…

Signal Processing · Electrical Eng. & Systems 2018-10-17 Manh Le Tran , Sunghwan Kim , Thomas Ketseoglou , Ender Ayanoglu
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