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From the earth's crust to the human brain, remitted waves are used for sensing and imaging in a diverse range of diffusive media. Separating the source and detector increases the penetration depth of remitted light, yet rapidly decreases…

Existing reference (RF)-based super-resolution (SR) models try to improve perceptual quality in SR under the assumption of the availability of high-resolution RF images paired with low-resolution (LR) inputs at testing. As the RF images…

Computer Vision and Pattern Recognition · Computer Science 2021-04-07 Mohammad Saeed Rad , Thomas Yu , Behzad Bozorgtabar , Jean-Philippe Thiran

Wireless sensor networks (WSNs) are vulnerable to eavesdropping as the sensor nodes (SNs) communicate over an open radio channel. Intelligent reflecting surface (IRS) technology can be leveraged for physical layer security in WSNs. In this…

Signal Processing · Electrical Eng. & Systems 2022-01-27 Mohammad Faisal Ahmed , Kunwar Pritiraj Rajput , Naveen K. D. Venkategowda , Kumar Vijay Mishra , Aditya K. Jagannatham

We present the development and performance of a Fourier transformation (FT) based Raman spectrometer working with visible laser (532 nm) excitation. It is generally thought that FT-Raman spectrometers are not viable in the visible range…

To obtain the best resolution for any measurement there is an ever-present challenge to achieve maximal differentiation between signal and noise over as fine of sampling dimensions as possible. In diffraction science these issues are…

Instrumentation and Detectors · Physics 2023-10-23 James Weng , Niklas B. Thompson , Christopher Folmar , James D. Martin , Christina Hoffman

In this paper, we study how to jointly design the phase shift of cascaded multi-IRSs and the precoding vector of the BS to improve the coverage in dense urban areas. We aim to maximize the signal-to-noise ratio (SNR) of the user equipment…

Information Theory · Computer Science 2021-03-10 Renjie Liang , Jiancun Fan , Yimeng Ge

We present experimental demonstration of a recently predicted path interference phenomenon [Nanophotonics 7, 1687 (2018)]. A SERS process becomes resonant when both incident and the converted frequencies match with two plasmon resonances --…

A problem of performance enhancement for multiple frequencies estimation is studied. First, we consider a basic gradient-based estimation approach with global exponential convergence. Next, we apply dynamic regressor extension and mixing…

Systems and Control · Computer Science 2016-04-08 Aranovskiy Stanislav , Bobtsov Alexey , Ortega Romeo , Pyrkin Anton

Photothermal-Induced Resonance (PTIR) is increasingly used in the measurement of infrared absorption spectra of sub-micrometer objects. The technique measures IR absorption spectra by relying on the photothermal effect induced by a rapid…

Chemical Physics · Physics 2019-11-28 Luca Quaroni

We present a new class of high-Q tunable microresonators formed at the intersection of two straight silica optical fibers, whose free spectral range (FSR) can be widely tuned by fiber rotation. The proposed configuration avoids the…

Optics · Physics 2025-04-15 Isha Sharma , Misha Sumetsky

We report on our observation of thermal control of transmission spectra of a micro-ring resonator coupled to a low finesse etalon. Thermal tuning of the device changes the coupling strength and losses between the etalon and ring resonator…

Applied Physics · Physics 2018-01-16 Nikolai N. Klimov , Mario C. M. M. Souza , Zeeshan Ahmed

Reconfigurable intelligent surface (RIS) is a promising technology to avoid signal blockage by creating virtual line-of-sight (LOS) connectivity for free-space optical (FSO) and radio frequency (RF) wireless systems. This paper considers a…

Information Theory · Computer Science 2021-08-17 Vinay Kumar Chapala , S. M. Zafaruddin

Reconfigurable Intelligent Surface (RIS) can create favorable multipath to establish strong links that are useful in millimeter wave (mmWave) communications. While previous works used Rayleigh or Rician fading, we use the fluctuating…

Information Theory · Computer Science 2020-11-10 Hongyang Du , Jiayi Zhang , Julian Cheng , Zhaohua Lu , Bo Ai

The high-intensity, repetitive noise associated with functional magnetic resonance imaging hinders on-line monitoring of subjects' speech and/or recording speech signals suitable for off-line analysis. The proposed algorithm enhances the…

Sound · Computer Science 2012-07-26 Satrajit S. Ghosh

Optical control enables new high resolution probes of narrow collisional (Feshbach) resonances, which are strongly dependent on the relative momentum of colliding atom pairs, and important for simulating neutron matter with ultracold atomic…

Quantum Gases · Physics 2018-10-31 N. Arunkumar , A. Jagannathan , J. E. Thomas

Consider a multiuser system where an arbitrary number of users communicate with a distributed receive array over independent Rayleigh fading paths. The receive array performs minimum mean squared error (MMSE) or zero forcing (ZF) combining…

Information Theory · Computer Science 2013-10-21 Dushyantha A. Basnayaka , Peter J. Smith , Phillipa A. Martin

The influence of random surface inhomogeneities on spectral properties of open microresonators is studied both theoretically and experimentally. To solve the equations governing the dynamics of electromagnetic fields the method of…

Mesoscale and Nanoscale Physics · Physics 2009-04-28 E. M. Ganapolskii , Z. E. Eremenko , Yu. V. Tarasov

Spin noise spectroscopy (SNS) is a new method for studying magnetic resonance and spin dynamics based on measuring the Faraday rotation noise. In strong contrast with methods of nonlinear optics, the spectroscopy of spin noise is considered…

Mesoscale and Nanoscale Physics · Physics 2015-04-28 M. M. Glazov , V. S. Zapasskii

In this article, the effect a moving target has on the signal-to-interference-plus-noise-ratio (SINR) for high time-bandwidth noise radars is investigated. To compensate for cell migration we apply a computationally efficient stretch…

Signal Processing · Electrical Eng. & Systems 2024-05-03 Martin Ankel , Robert S. Jonsson , Mats Tholen , Tomas Bryllert , Lars M. H. Ulander , Per Delsing

Compressive sensing (CS) exploits the sparsity present in many signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, in theory, commensurate reductions in the size, weight, power…

Information Theory · Computer Science 2015-05-28 Mark A. Davenport , Jason N. Laska , John R. Treichler , Richard G. Baraniuk