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This paper proposes a convolutional neural network (CNN)-based detector for faster-than-Nyquist (FTN) signaling that employs structured fixed kernel layers with domain-informed masking to mitigate intersymbol interference (ISI). Unlike…

Signal Processing · Electrical Eng. & Systems 2025-07-22 Osman Tokluoglu , Enver Cavus , Ebrahim Bedeer , Halim Yanikomeroglu

We propose inertial versions of block coordinate descent methods for solving non-convex non-smooth composite optimization problems. Our methods possess three main advantages compared to current state-of-the-art accelerated first-order…

Optimization and Control · Mathematics 2020-06-03 Le Thi Khanh Hien , Nicolas Gillis , Panagiotis Patrinos

In this paper, we propose a general approach for improving the efficiency of computing distribution functions. The idea is to truncate the domain of summation or integration.

Probability · Mathematics 2008-08-07 Xinjia Chen

The root raised-cosine pulse commonly used in linear digital modulations yields exactly two intersymbol interference components from the preceding and the subsequent data symbols, provided that the roll-off factor is $100\%$ and the…

Information Theory · Computer Science 2023-01-05 Pavel Loskot

Orthogonal systems in $\mathrm{L}_2(\mathbb{R})$, once implemented in spectral methods, enjoy a number of important advantages if their differentiation matrix is skew-symmetric and highly structured. Such systems, where the differentiation…

Numerical Analysis · Mathematics 2019-11-14 Arieh Iserles , Marcus Webb

Measurement-based quantum computation with optical time-domain multiplexing is a promising method to realize a quantum computer from the viewpoint of scalability. Fault tolerance and universality are also realizable by preparing appropriate…

We have observed multi-photon resonances in a system with a spin 3/2 irradiated simultaneously by a multiple pulse radiofrequency sequence and a low frequency field swept in the range 0-80 kHz. The used excitation scheme allowed us to…

Materials Science · Physics 2015-06-24 G. B. Furman , G. E Kibrik , A. Yu. Polyakov

This paper presents a novel convolutional neural network (CNN)-based detector for faster-than-Nyquist (FTN) signaling, introducing structured fixed kernel layers with domain-informed masking to effectively mitigate intersymbol interference…

Signal Processing · Electrical Eng. & Systems 2025-08-19 Osman Tokluoglu , Enver Cavus , Ebrahim Bedeer , Halim Yanikomeroglu

It is demonstrated is this letter that linear multistep methods for integrating ordinary differential equations can be used to develop a family of fast forward scattering algorithms with higher orders of convergence. Excluding the cost of…

Computational Physics · Physics 2018-03-28 Vishal Vaibhav

N-continuous orthogonal frequency division multiplexing (NC-OFDM) is a promising technique to obtain significant sidelobe suppression for baseband OFDM signals, in future 5G wireless communications. However, the precoder of NC-OFDM usually…

Information Theory · Computer Science 2016-01-20 Peng Wei , Lilin Dan , Yue Xiao , Wei Xiang , Shaoqian Li

This paper presents a fast spectral unmixing algorithm based on Dykstra's alternating projection. The proposed algorithm formulates the fully constrained least squares optimization problem associated with the spectral unmixing task as an…

Computer Vision and Pattern Recognition · Computer Science 2015-05-08 Qi Wei , Jose Bioucas-Dias , Nicolas Dobigeon , Jean-Yves Tourneret

In this paper, we experimentally and theoretically show the improvement in noise characteristics in a distributed Raman amplifier (DRA) system for wavelength division multiplexing (WDM) transmission, utilizing our proposed pumping…

Time-division multiplexing of cryogenic signals is a promising approach to reduce space requirements, shorten cooldown times, and increase the number of quantum devices measured per cooldown. We demonstrate time-division multiplexing of…

Twenty years ago the anti-reflective numerical boundary conditions (BCs) were introduced in a context of signal processing and imaging, for increasing the quality of the reconstruction of a blurred signal/image contaminated by noise and for…

Numerical Analysis · Mathematics 2024-05-31 Ercília Sousa , Cristina Tablino-Possio , Rolf Krause , Stefano Serra-Capizzano

Full-wave simulations are indispensable for nanophotonics and electromagnetics but are severely constrained on large systems, especially multi-channel ones such as disordered media, aperiodic metasurfaces, and densely packed photonic…

Optics · Physics 2022-12-21 Ho-Chun Lin , Zeyu Wang , Chia Wei Hsu

The Peking University Integral Split Ring Radio Frequency Quadrupole(ISR RFQ) accelerator was constructed in 1999 with a high duty factor 16.7% and repetition frequency 166Hz, and it was able to accelerate N+, O+,O-, C+ and He+ from…

Accelerator Physics · Physics 2010-11-29 Minglei Kang , Yuanrong Lu , Zhi Wang , Kun Zhu , Xueqing Yan , Shuli Gao , Shixiang Peng , Zhiyu Guo , Jiaxun Fang , Jiaer Chen

The large number of parameters in Pretrained Language Models enhance their performance, but also make them resource-intensive, making it challenging to deploy them on commodity hardware like a single GPU. Due to the memory and power…

Computation and Language · Computer Science 2024-01-09 Zirui Liu , Qingquan Song , Qiang Charles Xiao , Sathiya Keerthi Selvaraj , Rahul Mazumder , Aman Gupta , Xia Hu

The convergence of Boltzmann Fokker Planck solution can become arbitrarily slow with iterative procedures like source iteration. This paper derives and investigates a nonlinear diffusion acceleration scheme for the solution of the Boltzmann…

Numerical Analysis · Mathematics 2023-12-06 Japan K. Patel , Barry D. Ganapol , Martha M. Matuszak

The precise analysis and accurate measurement of harmonic provides a reliable scientific industrial application. However, the high-performance DSP processor is the important method of electrical harmonic analysis. Hence, in this research…

Signal Processing · Electrical Eng. & Systems 2018-06-13 Rozita Teymourzadeh , Memtode Jim , Mok Vee hong

In this paper, we investigate the sequence estimation problem of binary and quadrature phase shift keying faster-than-Nyquist (FTN) signaling and propose two novel low-complexity sequence estimation techniques based on concepts of…

Information Theory · Computer Science 2017-01-31 Ebrahim Bedeer , Mohamed Hossam Ahmed , Halim Yanikomeroglu
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