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This paper compares the signal-to-noise ratio (SNR) performance between the fully-passive intelligent reflecting surface (IRS)-enabled non-line-of-sight (NLoS) sensing versus its semi-passive counterpart. In particular, we consider a basic…

Signal Processing · Electrical Eng. & Systems 2023-08-11 Xianxin Song , Xinmin Li , Xiaoqi Qin , Jie Xu

A new method is introduced to obtain a strong signal by the interference of weak signals in noisy channels. The method is based on the interference of 1/f noise from parallel channels. One realization of stochastic interference is the…

Chaotic Dynamics · Physics 2009-11-07 K. Svozil , D. Felix , K. Ehrenberger

The millimeter wave (mmWave) frequencies are likely to play a significant role in fifth-generation (5G) cellular systems. A key challenge in developing systems in these bands is the potential for rapid channel dynamics: since mmWave signals…

Networking and Internet Architecture · Computer Science 2016-04-20 Marco Giordani , Marco Mezzavilla , Aditya Dhananjay , Sundeep Rangan , Michele Zorzi

This paper proposes a highly accurate algorithm to estimate the signal-to-noise ratio (SNR) for a linear system from a single realization of the received signal. We assume that the linear system has a Gaussian matrix with one sided left…

Information Theory · Computer Science 2017-10-10 Mohamed A. Suliman , Ayed M. Alrashdi , Tarig Ballal , Tareq Y. Al-Naffouri

The measurement of the close-to-the-carrier noise of rf and microwave devices is a relevant issue in time and frequency metrology and in some fields of electronics, physics and optics. While phase noise is the main concern, amplitude noise…

Instrumentation and Detectors · Physics 2009-11-11 Enrico Rubiola , Vincent Giordano

In this paper, we propose an enhanced leakage-based precoding scheme, i.e., layer signal to leakage plus noise ratio (layer SLNR) scheme, for multi-user multi-layer MIMO systems. Specifically, the layer SLNR scheme incorporates the MIMO…

Information Theory · Computer Science 2014-07-16 Chunliang Yang

In this work, we provide a system level analysis of integrated sensing and communication (ISAC) systems, where a setup with a mono-static dual-functional radar communication base station is assumed. We derive the ISAC signal-to-noise ratio…

Signal Processing · Electrical Eng. & Systems 2024-02-06 Roberto Bomfin , Konpal Shaukat Ali , Marwa Chafii

We briefly reviewed some recent progress on the studies of supernova remnants (SNRs), including the radio SNRs (the structure, polarization, spectrum etc.), observational characteristics of X-ray emission, pulsar wind nebulae (PWNe),…

High Energy Astrophysical Phenomena · Physics 2009-09-03 Jian-Wen Xu

To enhance the robustness and resilience of wireless communication and meet performance requirements, various environment-reflecting metrics, such as the signal-to-noise ratio (SNR), are utilized as the system parameter. To obtain these…

Signal Processing · Electrical Eng. & Systems 2026-01-16 Hanyoung Park , Ji-Woong Choi

Compared to passive intelligent reflecting surface (IRS), active IRS is viewed as a more efficient promising technique to combat the double-fading impact in IRS-aided wireless network. In this paper, in order to boost the achievable rate of…

Signal Processing · Electrical Eng. & Systems 2023-05-16 Yeqing Lin , Feng Shu , Rongen Dong , Riqing Chen , Siling Feng , Weiping Shi , Jing Liu , Jiangzhou Wang

We consider a two--tile reconfigurable intelligent surface (RIS) assisted wireless network with a two-antenna transmitter and receiver over Rayleigh fading. We show that the average received signal-to-noise-ratio (SNR) optimal transmission…

Information Theory · Computer Science 2020-10-12 Prathapasinghe Dharmawansa , Saman Atapattu , Marco Di Renzo

The low-snr capacity of M-ary PSK transmission over both the additive white Gaussian noise (AWGN) and fading channels is analyzed when hard-decision detection is employed at the receiver. Closed-form expressions for the first and second…

Information Theory · Computer Science 2016-11-17 Mustafa Cenk Gursoy

Consider a waveform channel where the transmitted signal is corrupted by Wiener phase noise and additive white Gaussian noise (AWGN). A discrete-time channel model that takes into account the effect of filtering on the phase noise is…

Information Theory · Computer Science 2013-01-30 Hassan Ghozlan , Gerhard Kramer

Stochastic resonance is a general phenomenon usually observed in one-dimensional, amplitude modulated, bistable systems.We show experimentally the emergence of phase stochastic resonance in the bidimensional response of a forced…

The successful detection of biomolecules by a Field Effect Transistor-based biosensor (BioFET) is dictated by the sensor's intrinsic Signal-to-Noise Ratio (SNR). The detection limit of a traditional BioFET is fundamentally limited by…

Applied Physics · Physics 2019-07-24 Nicolò Zagni , Paolo Pavan , Muhammad Ashraf Alam

Speech enhancement (SE) improves communication in noisy environments, affecting areas such as automatic speech recognition, hearing aids, and telecommunications. With these domains typically being power-constrained and event-based while…

Sound · Computer Science 2024-08-15 Tao Sun , Sander Bohté

Stochastic resonance (SR), a phenomenon originally introduced in climate modeling, enhances signal detection by leveraging optimal noise levels within non-linear systems. Traditional SR techniques, mainly based on single-threshold…

Signal Processing · Electrical Eng. & Systems 2025-10-27 Dixon Vimalajeewa , Ursula U. Muller , Brani Vidakovic

This paper presents the Universal Software Radio Peripheral (USRP) experimental results of the Max-Min signal to noise ratio (SNR) Signal Energy based Spectrum Sensing Algorithms for Cognitive Radio Networks which is recently proposed in…

Applications · Statistics 2014-01-16 Tadilo Endeshaw Bogale , Luc Vandendorpe

An optical transistor capable of simultaneous amplification and switching is theoretically proposed via cascaded second-order nonlinear interactions in a resonant structure. Two distinct operational schemes are analyzed. A single frequency…

Optics · Physics 2026-01-23 Jongbae Kim

Spiking neural networks (SNNs) have garnered interest due to their energy efficiency and superior effectiveness on neuromorphic chips compared with traditional artificial neural networks (ANNs). One of the mainstream approaches to…

Neural and Evolutionary Computing · Computer Science 2024-04-29 Zhipeng Huang , Jianhao Ding , Zhiyu Pan , Haoran Li , Ying Fang , Zhaofei Yu , Jian K. Liu
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