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Most of the conventional multicarrier waveforms explicitly or implicitly involve a generalized frequency division multiplexing (GFDM)-based modem as a core part of the baseband processing. Some are based on GFDM with a single prototype…

Signal Processing · Electrical Eng. & Systems 2019-01-21 Ahmad Nimr , Marwa Chafii , Gerhard Fettweis

Various precoders have been recently studied by the wireless community to combat the channel fading effects. Two prominent precoders are implemented with the discrete Fourier transform (DFT) and Walsh-Hadamard transform (WHT). The WHT…

Information Theory · Computer Science 2023-09-11 Roberto Bomfin , Marwa Chafii

The ability to decompose a signal in an orthonormal basis (a set of orthogonal components, each normalized to have unit length) using a fast numerical procedure rests at the heart of many signal processing methods and applications. The…

Numerical Analysis · Computer Science 2019-10-24 Cristian Rusu

In this paper, we propose a practical adaptive coding modulation scheme to approach the capacity of free-space optical (FSO) channels with intensity modulation/direct detection based on probabilistic shaping. The encoder efficiently adapts…

Information Theory · Computer Science 2020-12-01 Ahmed Elzanaty , Mohamed-Slim Alouini

In this paper, we propose a novel layer based on fast Walsh-Hadamard transform (WHT) and smooth-thresholding to replace $1\times 1$ convolution layers in deep neural networks. In the WHT domain, we denoise the transform domain coefficients…

Computer Vision and Pattern Recognition · Computer Science 2021-11-02 Hongyi Pan , Diaa Dabawi , Ahmet Enis Cetin

High mobility environment leads to severe Doppler effects and poses serious challenges to the conventional physical layer based on the widely popular orthogonal frequency division multiplexing (OFDM). The recent emergence of orthogonal time…

Signal Processing · Electrical Eng. & Systems 2025-02-14 Qinwen Deng , Yao Ge , Zhi Ding

Current optical coherent transponders technology is driving data rates towards 1 Tb/s/{\lambda}and beyond. This trend requires both high-performance coded modulation schemes and efficient implementation of the forward-error-correction (FEC)…

Signal Processing · Electrical Eng. & Systems 2020-07-15 Gabriele Liga , Bin Chen , Sjoerd van der Heide , Alireza Sheikh , Menno van der Hout , Chigo Okonkwo , Alex Alvarado

In this work, we present the \emph{twiddless fast Fourier transform (TFFT)}, a novel algorithm for computing the $N$-point discrete Fourier transform (DFT). The TFFT's divide strategy builds on recent results that decimate an $N$-point…

Computational Complexity · Computer Science 2025-12-23 Saulo Queiroz

Quantum-inspired algorithms can deliver substantial speedups over classical state-of-the-art methods by executing quantum algorithms with tensor networks on conventional hardware. Unlike circuit models restricted to unitary gates, tensor…

Mode division multiplexing (MDM) is mooted as a technology to address future bandwidth issues, and has been successfully demonstrated in free space using spatial modes with orbital angular momentum (OAM). To further increase the data…

In many mechanical, electrical, and general physical systems evolving over time or space, spectral analysis methods as Fast Fourier Transform (FFT), Short Term Fourier Transform (STFT), Power Spectrum Density (PSD) plays a very important…

Signal Processing · Electrical Eng. & Systems 2023-06-21 Andreas Tuor , Nico Canzani , Tobias Rüggeberg , Stefan Gorenflo , Gerd Simons , Bruno Bättig , Daniel Iseli

Delay alignment modulation (DAM) is a novel transmission technique for wireless systems with high spatial resolution by leveraging delay compensation and path-based beamforming, to mitigate the inter-symbol interference (ISI) without…

Signal Processing · Electrical Eng. & Systems 2024-07-31 Zhiwen Zhou , Zhiqiang Xiao , Yong Zeng

In this survey, we analyze the newest machine learning (ML) techniques for optical orthogonal frequency division multiplexing (O-OFDM)-based optical communications. ML has been proposed to mitigate channel and transceiver imperfections. For…

Machine Learning · Computer Science 2021-05-10 Hichem Mrabet , Elias Giaccoumidis , Iyad Dayoub

In this work, we propose the orthogonal delay-Doppler (DD) division multiplexing (ODDM) modulation with frequency modulated continuous wave (FMCW) (ODDM-FMCW) waveform to enable integrated sensing and communication (ISAC) with a low…

Signal Processing · Electrical Eng. & Systems 2026-02-03 Kehan Huang , Akram Shafie , Min Qiu , Elias Aboutanios , Jinhong Yuan

In this communication, we propose a framework for amalgamating optical-orthogonal frequency-division multiplexing (O-OFDM) and O-OFDM with index modulation (O-OFDM-IM) for optical wireless systems. Both schemes individually have some…

Signal Processing · Electrical Eng. & Systems 2022-05-23 Ali Waqar Azim , Yannis Le Guennec , Marwa Chafii , Laurent Ros

Deep learning models for channel estimation in Orthogonal Frequency Division Multiplexing (OFDM) systems often suffer from performance degradation under fast-fading channels and low-SNR scenarios. To address these limitations, we introduce…

Machine Learning · Computer Science 2025-05-15 Berkay Guler , Hamid Jafarkhani

With the increasing demand for multi-carrier communication in high-mobility scenarios, it is urgent to design new multi-carrier communication waveforms that can resist large delay-Doppler spreads. Various multi-carrier waveforms in the…

Signal Processing · Electrical Eng. & Systems 2024-06-05 Xingyao Zhang , Haoran Yin , Yanqun Tang , Yu Zhou , Yuqing Liu , Jinming Du , Yipeng Ding

We propose and model an optical communication scheme for short distance datacom links based on the distribution of information across a wide comb spectrum. This modulation format, orthogonal delay division multiplexing, allows the…

Optics · Physics 2023-10-27 Andrea Zazzi , Jeremy Witzens

Constellation shaping is a practical and effective technique to improve the performance and the rate adaptivity of optical communication systems. In principle, it could also be used to mitigate the impact of nonlinear effects, possibly…

Information Theory · Computer Science 2022-06-08 Marco Secondini , Stella Civelli , Enrico Forestieri , Lareb Zar Khan

The usage of linear transformations has great relevance for data decorrelation applications, like image and video compression. In that sense, the discrete Tchebichef transform (DTT) possesses useful coding and decorrelation properties. The…

Multimedia · Computer Science 2024-10-14 P. A. M. Oliveira , R. J. Cintra , F. M. Bayer , S. Kulasekera , A. Madanayake , V. A. Coutinho
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