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Reconfigurable intelligent surface (RIS) and ambient backscatter communication (AmBC) have been envisioned as two promising technologies due to their high transmission reliability as well as energy-efficiency. This paper investigates the…

Information Theory · Computer Science 2024-03-19 Yingjie Pei , Xinwei Yue , Chongwen Huang , Zhiping Lu

In this paper, we present a differential modulation and detection scheme for use in the uplink of a system with a large number of antennas at the base station, each equipped with low-resolution analog-to-digital converters (ADCs). We derive…

Signal Processing · Electrical Eng. & Systems 2021-12-03 Don-Roberts Emenonye , Carl Dietrich , R. Michael Buehrer

In this paper, we propose a noise robust bottleneck feature representation which is generated by an adversarial network (AN). The AN includes two cascade connected networks, an encoding network (EN) and a discriminative network (DN).…

Sound · Computer Science 2017-06-13 Hong Yu , Zheng-Hua Tan , Zhanyu Ma , Jun Guo

In the present contribution, we propose a novel opportunistic ambient backscatter communication (ABC) framework for radio frequency (RF)-powered cognitive radio (CR) networks. This framework considers opportunistic spectrum sensing…

Information Theory · Computer Science 2019-02-04 Rajalekshmi Kishore , Sanjeev Gurugopinath , Paschalis C. Sofotasios , Sami Muhaidat , Naofal Al-Dhahir

The article addresses the problem of detecting presence and location of a small low emission source inside of an object, when the background noise dominates. This problem arises, for instance, in some homeland security applications. The…

Statistics Theory · Mathematics 2015-05-28 Xiaolei Xun , Bani Mallick , Raymond J. Carroll , Peter Kuchment

Recently, the orthogonal time frequency space (OTFS) modulation is proposed for 6G wireless system to deal with high Doppler spread. The high Doppler spread happens when the transmitted signal is reflected towards the receiver by fast…

Signal Processing · Electrical Eng. & Systems 2021-10-28 Xinwei Qu , Alva Kosasih , Wibowo Hardjawana , Vincent Onasis , Branka Vucetic

Rydberg-atom receivers aim for ultra-high sensitivity to microwave fields through various techniques, but receiving satellite signals has remained a significant challenge, due to the difficulty of capturing weak microwaves over long…

Quantum Physics · Physics 2025-06-19 Mignwei Lei , Jianquan Zhang , Qun Luo , Zhentao Zhang , Ming Wang , Meng Shi

We present a work on low-complexity acoustic scene classification (ASC) with multiple devices, namely the subtask A of Task 1 of the DCASE2021 challenge. This subtask focuses on classifying audio samples of multiple devices with a…

Audio and Speech Processing · Electrical Eng. & Systems 2023-06-06 Yanxiong Li , Wenchang Cao , Wei Xie , Qisheng Huang , Wenfeng Pang , Qianhua He

We analyze and compare the characterization of a quantum device in terms of noise, transmitted bit-error-rate (BER) and mutual information, showing how the noise description is meaningful only for Gaussian channels. After reviewing the…

Quantum Physics · Physics 2015-06-26 G. M. D'Ariano , C. Macchiavello , L. Maccone

Physical-layer characteristics, such as channel state information (CSI) and transmitter noise induced by hardware impairments, are often uniquely associated with a transmitter. This paper investigates transmitter anonymity at the physical…

Signal Processing · Electrical Eng. & Systems 2026-02-25 Yu Li , Milad Tatar Mamaghani , Xiangyun Zhou , Nan Yang

For 5G it will be important to leverage the available millimeter wave spectrum. To achieve an approximately omni- directional coverage with a similar effective antenna aperture compared to state of the art cellular systems, an antenna array…

Information Theory · Computer Science 2017-04-27 Kilian Roth , Josef A. Nossek

Neural Audio Codecs (NACs) are widely adopted in modern speech systems, yet how they encode linguistic and paralinguistic information remains unclear. Improving the interpretability of NAC representations is critical for understanding and…

Traditional methods for learning with the presence of noisy labels have successfully handled datasets with artificially injected noise but still fall short of adequately handling real-world noise. With the increasing use of meta-learning in…

Computer Vision and Pattern Recognition · Computer Science 2023-10-18 Mitchell Keren Taraday , Chaim Baskin

This paper introduces an off-the-grid estimator for integrated sensing and communication (ISAC) systems, utilizing lifted atomic norm minimization (LANM). The key challenge in this scenario is that neither the transmit signals nor the…

Information Theory · Computer Science 2024-11-15 Iman Valiulahi , Christos Masouros , Athina P. Petropulu

Backscatter communication (BC) has emerged as a key technology to satisfy the increasing need for low-cost and green Internet-of-Things (IoT) connectivity, especially in large-scale deployments. Unlike the monostatic BC (MoBC), the bistatic…

Signal Processing · Electrical Eng. & Systems 2024-07-26 Ahmet Kaplan , Diana P. M. Osorio , Erik G. Larsson

Conventional multiuser detection techniques either require a large number of antennas at the receiver for a desired performance, or they are too complex for practical implementation. Moreover, many of these techniques, such as successive…

Signal Processing · Electrical Eng. & Systems 2022-01-19 Matthias Mehlhose , Daniyal Amir Awan , Renato L. G. Cavalcante , Martin Kurras , Slawomir Stanczak

We present a new analytical framework on the uplink data detection for massive multiple-input multiple-output systems with 1-bit analog-to-digital converters (ADCs). We first characterize the expected values of the soft-estimated symbols…

Information Theory · Computer Science 2026-03-26 Amin Radbord , Italo Atzeni , Antti Tolli

Label noise is a common problem in real-world datasets, affecting both model training and validation. Clean data are essential for achieving strong performance and ensuring reliable evaluation. While various techniques have been proposed to…

Machine Learning · Computer Science 2025-10-21 Henrique Pickler , Jorge K. S. Kamassury , Danilo Silva

In this paper, we introduce the new concept of Crowd-Detectable Zero-Energy-Devices. Such devices harvest solar or ambient light energy to power themselves, backscatter ambient waves to communicate, and are detected simultaneously by a…

Signal Processing · Electrical Eng. & Systems 2021-10-13 D. -T. Phan-Huy , D. Barthel , P. Ratajczak , R. Fara , M. di Renzo , J. de Rosny

Rydberg atomic sensors have been adopted for novel radio frequency (RF) measurement technique and the sensing capability for signals in multiple frequencies makes it attractive for multi-user communication. However, unlike traditional…

Signal Processing · Electrical Eng. & Systems 2025-06-27 Hao Wu , Chongwu Xie , Xinyuan Yao , Kang-Da Wu , Shanchi Wu , Rui Ni , Guo-Yong Xiang , Chen Gong