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In this article, a fractional-norm constrained blind adaptive algorithm is presented for sparse channel equalization. In essence, the algorithm improves on the minimization of the constant modulus (CM) criteria by adding a sparsity inducing…

Information Theory · Computer Science 2017-08-09 Shafayat Abrar

With the development of high speed trains (HST) in many countries, providing broadband wireless services in HSTs is becoming crucial. Orthogonal frequency-division multiplexing (OFDM) has been widely adopted for broadband wireless…

Signal Processing · Electrical Eng. & Systems 2020-03-06 Xiang Ren , Wen Chen , Meixia Tao

A simple data-aided scheme for sampling clock synchronisation in reduced-guard-interval coherent optical orthogonal frequency division multiplexing (RGI-CO-OFDM) systems is proposed. In the proposed scheme, the sampling clock offset (SCO)…

Signal Processing · Electrical Eng. & Systems 2018-01-08 Oluyemi Omomukuyo , Deyuan Chang , Octavia A. Dobre , Ramachandran Venkatesan , Telex M. N. Ngatched

In orthogonal frequency-division multiplexing (OFDM) systems operating over rapidly time-varying channels, the orthogonality between subcarriers is destroyed leading to inter-carrier interference (ICI) and resulting in an irreducible error…

Information Theory · Computer Science 2009-11-03 Erdal Panayirci , Hakan Dogan , H. Vincent Poor

Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) is a promising transmission scheme for high performance broadband wireless communications. However, this technique suffers from a major drawback which…

Information Theory · Computer Science 2014-12-30 Mouna Sghaier , Fatma Abdelkefi , Mohamed Siala

Orthogonal frequency division multiplexing (OFDM) has proven itself as an effective multi-carrier digital communication technique. In recent years the interest in optical OFDM has grown significantly, due to its spectral efficiency and…

Signal Processing · Electrical Eng. & Systems 2020-09-01 Amir Weiss , Arie Yeredor , Mark Shtaif

This paper explicitly models a coarse and noisy quantization in a communication system empowered by orthogonal time frequency space (OTFS) for cost and power efficiency. We first point out, with coarse quantization, the effective channel is…

Information Theory · Computer Science 2024-01-23 Junwei He , Haochuan Zhang , Chao Dong , Huimin Zhu

We propose a blind ML-based modulation detection for OFDM-based technologies. Unlike previous works that assume an ideal environment with precise knowledge of subcarrier count and cyclic prefix location, we consider blind modulation…

Machine Learning · Computer Science 2024-08-16 Ali Pourranjbar , Georges Kaddoum , Verdier Assoume Mba , Sahil Garg , Satinder Singh

Affine frequency division multiplexing (AFDM) has emerged as a promising waveform for high-mobility communications. However, its equalization remains a practical challenge under general physical channels with off-grid delay and Doppler…

Signal Processing · Electrical Eng. & Systems 2026-04-10 Cheng Shen , Chenyang Zhang , Jinhong Yuan

Orthogonal time frequency space (OTFS) modulation has recently emerged as a potential 6G candidate waveform which provides improved performance in high-mobility scenarios. In this paper we investigate the combination of OTFS with…

Signal Processing · Electrical Eng. & Systems 2023-04-27 Stephen McWade , Arman Farhang , Mark F. Flanagan

Affine Frequency Division Multiplexing (AFDM) has attracted considerable attention for its robustness to Doppler effects. However, its high receiver-side computational complexity remains a major barrier to practical deployment. To address…

Signal Processing · Electrical Eng. & Systems 2025-08-19 Shuntian Tang , Zesong Fei , Xinyi Wang , Dongkai Zhou , Zhiqiang Wei , Christos Masouros

We propose a blind deconvolution method for signals on graphs, with the exact sparseness constraint for the original signal. Graph blind deconvolution is an algorithm for estimating the original signal on a graph from a set of blurred and…

Signal Processing · Electrical Eng. & Systems 2020-10-28 Kazuma Iwata , Koki Yamada , Yuichi Tanaka

In this paper, a novel low-complexity detection algorithm for spatial modulation (SM), referred to as the minimum-distance of maximum-length (m-M) algorithm, is proposed and analyzed. The proposed m-M algorithm is a smart searching method…

Information Theory · Computer Science 2019-07-22 Ibrahim Al-Nahhal , Ertugrul Basar , Octavia A. Dobre , Salama Ikki

Orthogonal Time Frequency Space (OTFS) modulation offers robust performance in high-mobility scenarios by transforming time-varying channels into the delay-Doppler (DD) domain. However, in high-mobility environment such as emerging 5G…

Information Theory · Computer Science 2026-01-29 Bo-Yuan Chen , Hsuan-Jung Su

The problem of 1-bit compressive sampling is addressed in this paper. We introduce an optimization model for reconstruction of sparse signals from 1-bit measurements. The model targets a solution that has the least l0-norm among all signals…

Information Theory · Computer Science 2013-02-07 Lixin Shen , Bruce W. Suter

In this paper, we explore neural network-based strategies for performing symbol detection in a MIMO-OFDM system. Building on a reservoir computing (RC)-based approach towards symbol detection, we introduce a symmetric and decomposed binary…

Signal Processing · Electrical Eng. & Systems 2020-12-04 Zhou Zhou , Shashank Jere , Lizhong Zheng , Lingjia Liu

In this paper, we present a low-complexity joint detection-decoding algorithm for nonbinary LDPC codedmodulation systems. The algorithm combines hard-decision decoding using the message-passing strategy with the signal detector in an…

Information Theory · Computer Science 2016-11-17 Xuepeng Wang , Baoming Bai , Xiao Ma

This paper proposes orthogonal time sequency multiplexing (OTSM), a novel single carrier modulation scheme that places information symbols in the delay-sequency domain followed by a cascade of time-division multiplexing (TDM) and…

Signal Processing · Electrical Eng. & Systems 2021-06-22 Tharaj Thaj , Emanuele Viterbo , Yi Hong

This work proposes a blind adaptive reduced-rank scheme and constrained constant-modulus (CCM) adaptive algorithms for interference suppression in wireless communications systems. The proposed scheme and algorithms are based on a two-stage…

Information Theory · Computer Science 2013-01-10 Rodrigo C. de Lamare , Raimundo Sampaio-Neto , Martin Haardt

This paper presents new low-complexity lattice-decoding algorithms for noncoherent block detection of QAM and PAM signals over complex-valued fading channels. The algorithms are optimal in terms of the generalized likelihood ratio test…

Information Theory · Computer Science 2009-11-13 Daniel J. Ryan , Iain B. Collings , I. Vaughan L. Clarkson