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In this paper, we consider an intelligent reflecting surface (IRS)-aided single-user system where an IRS with discrete phase shifts is deployed to assist the uplink communication. A practical transmission protocol is proposed to execute…

Information Theory · Computer Science 2019-12-24 Changsheng You , Beixiong Zheng , Rui Zhang

Uncertainty in discriminating between different received coherent signals is integral to the operation of many free-space optical communications protocols, and is often difficult when the receiver measures a weak signal. Here we design an…

Quantum Physics · Physics 2020-06-16 Sanjaya Lohani , Ryan T. Glasser

We present a technique called single-pixel imaging camera based on complementary detection and optimized Bernoulli modulation (CSPI camera), which can significantly reduce the influence of the disturbance light to single-pixel imaging…

Optics · Physics 2022-04-19 Wenlin Gong

In practical satellite-based quantum key distribution (QKD) systems, the preparation and transmission of polarization-encoding photons suffer from complex environmental effects and high channel-loss. Consequently, the hinge to enhancing the…

Quantum Physics · Physics 2024-11-14 Zexu Wang , Huaxing Xu , Ju Li , Jinquan Huang , Hui Han , Changlei Wang , Ping Zhang , Feifei Yin , Kun Xu , Bo Liu , Yitang Dai

Integrated sensing and communication (ISAC) is a promising candidate technology for 6G due to its improvement in spectral efficiency and energy efficiency. Orthogonal frequency division multiplexing (OFDM) signal is a mainstream candidate…

Signal Processing · Electrical Eng. & Systems 2025-08-19 Lin Wang , Zhiqing Wei , Xu Chen , Zhiyong Feng

In this paper, secure wireless information and power transfer with intelligent reflecting surface (IRS) is proposed for a multiple-input single-output (MISO) system. Under the secrecy rate (SR) and the reflecting phase shifts of IRS…

Signal Processing · Electrical Eng. & Systems 2019-11-05 Weiping Shi , Xiaobo Zhou , Linqiong Jia , Yongpeng Wu , Feng Shu , Jiangzhou Wang

Digital receivers are required to recover the transmitted symbols from their observed channel output. In multiuser multiple-input multiple-output (MIMO) setups, where multiple symbols are simultaneously transmitted, accurate symbol…

Signal Processing · Electrical Eng. & Systems 2020-06-17 Nir Shlezinger , Rong Fu , Yonina C. Eldar

We study a novel communication mechanism, ambient backscatter, that utilizes radio frequency (RF) signals transmitted from an ambient source as both energy supply and information carrier to enable communications between low-power devices.…

Information Theory · Computer Science 2016-12-26 Jing Qian , Feifei Gao , Gongpu Wang , Shi Jin , Hongbo Zhu

A class of recovering algorithms for 1-bit compressive sensing (CS) named Soft Consistency Reconstructions (SCRs) are proposed. Recognizing that CS recovery is essentially an optimization problem, we endeavor to improve the characteristics…

Information Theory · Computer Science 2014-02-25 Xiao Cai , Zhaoyang Zhang , Huazi Zhang , Chunguang Li

Wireless sensing offers an alternative to wearables for contactless monitoring of human activity and vital signs. However, most existing systems use bistatic setups, which suffer from phase imperfections due to unsynchronized clocks.…

Signal Processing · Electrical Eng. & Systems 2024-12-12 Andreas Toftegaard Kristensen , Alexios Balatsoukas-Stimming , Andreas Burg

With the goal of enabling ultrareliable and low-latency wireless communications for industrial internet of things (IIoT), this paper studies the use of energy-based modulations in noncoherent massive single-input multiple-output (SIMO)…

Information Theory · Computer Science 2024-06-19 Marc Vilà-Insa , Aniol Martí , Jaume Riba , Meritxell Lamarca

The Radiative transfer coherent backscattering (RT-CB) code is extended to apply to dense discrete random media of optically soft spherical particles. This is achieved by utilizing the well-known static-structure-factor (SSF) correction…

Materials Science · Physics 2023-11-23 Johannes Markkanen , Antti Penttilä

Compressed Sensing MRI reconstructs images of the body's internal anatomy from undersampled measurements, thereby reducing scan time. Recently, deep learning has shown great potential for reconstructing high-fidelity images from highly…

Image and Video Processing · Electrical Eng. & Systems 2025-04-07 Armeet Singh Jatyani , Jiayun Wang , Aditi Chandrashekar , Zihui Wu , Miguel Liu-Schiaffini , Bahareh Tolooshams , Anima Anandkumar

Integrated sensing and communication (ISAC) emerges as a promising technology for B5G/6G, particularly in the millimeter-wave (mmWave) band. However, the widely utilized hybrid architecture in mmWave systems compromises multiplexing gain…

Signal Processing · Electrical Eng. & Systems 2025-02-20 Boxun Liu , Shijian Gao , Zonghui Yang , Xiang Cheng , Liuqing Yang

The rapid development of coherent short-wavelength light sources in the extreme ultraviolet (EUV) and soft X-ray (SXR) regimes has created a growing need for advanced optoelectronic detection capabilities, particularly for…

Instrumentation and Detectors · Physics 2026-05-26 Ivan Ryger , Terry Brown , Dina S. Eissa , Chen-Ting Liao

In this research, a novel robust change detection approach is presented for imbalanced multi-temporal synthetic aperture radar (SAR) image based on deep learning. Our main contribution is to develop a novel method for generating difference…

Computer Vision and Pattern Recognition · Computer Science 2020-03-05 Xinzheng Zhang , Hang Su , Ce Zhang , Peter M. Atkinson , Xiaoheng Tan , Xiaoping Zeng , Xin Jian

Ultra-sensitive short-wave infrared (SWIR) photon detection is a crucial aspect of ongoing research in quantum technology. However, developing such detectors on a CMOS-compatible silicon technological platform has been challenging due to…

Applied Physics · Physics 2024-11-15 P. Sudha , S. Miyagawa , A. Samanta , D. Moraru

The evolution of wireless systems has led to a continuous increase in the demand for radio frequency spectrum. To address this issue, a technology that has received a lot of attention is In-Band Full-Duplex (IBFD). The interest in IBFD…

Signal Processing · Electrical Eng. & Systems 2022-02-03 Hossein Mohammadi , Maryam Sabbaghian , Vuk Marojevic

Abstract-One-bit compressive sensing (CS) is known to be particularly suited for resource-constrained wireless sensor networks (WSNs). In this paper, we consider 1-bit CS over noisy WSNs subject to channel-induced bit flipping errors, and…

Information Theory · Computer Science 2015-06-05 Ching-Hsien Chen , Jwo-Yuh Wu

Blind signal separation (BSS) is an important and challenging signal processing task. Given an observed signal which is a superposition of a collection of unknown (hidden/latent) signals, BSS aims at recovering the separate, underlying…

Numerical Analysis · Mathematics 2024-06-25 Truman Hickok , Sriram Nagaraj