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This work describes the design and implementation of a low-power wireless communication system for transmitting text using ESP32 modules and the LoRa DXLR01. The proposal arises as a solution to connectivity and energy-efficiency problems…

In this work, we present a novel robust distributed beamforming (RDB) approach to mitigate the effects of channel errors on wireless networks equipped with relays based on the exploitation of the cross-correlation between the received data…

Signal Processing · Electrical Eng. & Systems 2017-12-05 H. Ruan , R. C. de Lamare

In this paper, we propose an interference exploitation symbol-level precoding (SLP) method for multi-level modulations via an in-block power allocation scheme to greatly reduce the signaling overhead. Existing SLP approaches require the…

Information Theory · Computer Science 2021-03-11 Ang Li , Fan Liu , Xuewen Liao , Yuanjun Shen , Christos Masouros

Chirp signals have established diverse applications caused by the capable of producing time-dependent linear frequencies. Most feature extraction transformation methods for chirp signals focus on enhancing the performance of transform…

Signal Processing · Electrical Eng. & Systems 2024-01-11 Shuyi Gu , Zhenghua Luo , Lin Hu , Yilin Zhang , Junxiong Guo

Foundation models for vision are predominantly trained on RGB data, while many safety-critical applications rely on non-visible modalities such as infrared (IR) and synthetic aperture radar (SAR). We study whether a single flow-matching…

Computer Vision and Pattern Recognition · Computer Science 2026-01-09 Maxim Clouser , Kia Khezeli , John Kalantari

Constructive interference (CI) precoding, which converts the harmful multi-user interference into beneficial signals, is a promising and efficient interference management scheme in multi-antenna communication systems. However, CI-based…

Signal Processing · Electrical Eng. & Systems 2024-05-28 Mu Liang , Ang Li , Xiaoyan Hu , Christos Masouros

In this paper we generalize and extend an idea of low-rank adaptation (LoRA) of large language models (LLMs) based on Transformer architecture. Widely used LoRA-like methods of fine-tuning LLMs are based on matrix factorization of gradient…

Computation and Language · Computer Science 2024-02-06 Daniel Bershatsky , Daria Cherniuk , Talgat Daulbaev , Aleksandr Mikhalev , Ivan Oseledets

In this paper we introduce a task-oriented communication design for split learning (SL) over a communication channel. Our approach involves the Expressive Neural Network (ENN), a novel neural network featuring adaptive activation functions…

Signal Processing · Electrical Eng. & Systems 2024-05-28 Marc Martinez-Gost , Ana Pérez-Neira , Miguel Ángel Lagunas

Many satellite communication systems operating today employ low cost upconverters or downconverters which create phase noise. This noise can severely limit the information rate of the system and pose a serious challenge for the detection…

Information Theory · Computer Science 2012-10-19 Shachar Shayovitz , Dan Raphaeli

Subspace codes were introduced by K\"otter and Kschischang for error control in random linear network coding. In this paper, a layered type of subspace codes is considered, which can be viewed as a superposition of multiple component…

Information Theory · Computer Science 2012-09-14 Chao Chen , Hongmei Xie , Baoming Bai

Next-generation wireless communication systems impose much stricter requirements for transmission rate, latency, and reliability. The peak data rate of 6G networks should be no less than 1 Tb/s, which is comparable to existing long-haul…

Information Theory · Computer Science 2024-10-28 Kirill Andreev , Pavel Rybin , Alexey Frolov

Recently, we proposed a spectrum-sharing paradigm for single-carrier cognitive radio (CR) networks, where a secondary user (SU) is able to maintain or even improve the performance of a primary user (PU) transmission, while also obtaining a…

Information Theory · Computer Science 2016-05-10 Donatella Darsena , Giacinto Gelli , Francesco Verde

Despite its huge number of variants, standard Low-Rank Adaptation (LoRA) is still a dominant technique for parameter-efficient fine-tuning (PEFT). Nonetheless, it faces persistent challenges, including the pre-selection of an optimal rank…

Computation and Language · Computer Science 2026-02-20 Ivan Vulić , Adam Grycner , Quentin de Laroussilhe , Jonas Pfeiffer

Traditional low-power wide-area network (LPWAN) transceivers typically compromise data rates to achieve deep coverage. This paper presents a novel transceiver that achieves high receiver sensitivity and low computational complexity. At the…

Information Theory · Computer Science 2025-08-01 Wenkun Wen , Ruiqi Zhang , Peiran Wu , Tierui Min , Minghua Xia

In this study, we analyze the feasibility of distributed phase synchronization for coherent signal superposition, a fundamental enabler for paradigms such as coherent over-the-air computation (OAC), distributed beamforming, and interference…

Signal Processing · Electrical Eng. & Systems 2025-07-30 Alphan Sahin

With the increasing number of parameters in large pre-trained models, LoRA as a parameter-efficient fine-tuning(PEFT) method is widely used for not adding inference overhead. The LoRA method assumes that weight changes during fine-tuning…

Machine Learning · Computer Science 2024-08-07 Jihao Gu , Shuai Chen , Zelin Wang , Yibo Zhang , Ping Gong

Polarimetric phased arrays (PPAs) enhance radar target detection and anti-jamming capabilities, but their conventional dual transmit/receive (T/R) channel architecture leads to high cost and system complexity. To address these limitations,…

Systems and Control · Electrical Eng. & Systems 2026-01-07 Yiqing Wang , Jian Zhou , Chen Pang , Wenyang Man , Zixiang Xiong , Ke Meng , Zhanling Wang , Yongzhen Li

Broadband microwave waveforms with programmable chirp shapes are captivating in numerous practical applications. Compared with electronic technology, photonic-assisted solutions exhibit excellent performance in bandwidth and flexibility,…

Transposed convolution is crucial for generating high-resolution outputs, yet has received little attention compared to convolution layers. In this work we revisit transposed convolution and introduce a novel layer that allows us to place…

Computer Vision and Pattern Recognition · Computer Science 2022-10-19 Stefano B. Blumberg , Daniele Raví , Mou-Cheng Xu , Matteo Figini , Iasonas Kokkinos , Daniel C. Alexander

The multilayer structure is a promising technique used to minimize the size of planar microstrip filters. In the flexible design and incorporation of other microwave components, multilayer band-pass filter results in better and enhanced…

Signal Processing · Electrical Eng. & Systems 2021-10-11 Qazwan Abdullah , Ömer Aydoğdu , Adeeb Salh , Nabil Farah , Md Hairul Nizam Talib , Taha Sadeq , Mohammed A. A. Al-Mekhalfi , Abdu Saif