Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Kavli Affiliate: Wei Gao | First 5 Authors: Yan Wang, Wei Gao, Qi Zhang, Jiajia Liu, Feng Shu | Summary: In this paper, channel estimation of an active intelligent reflecting surface (IRS) aided uplink Internet of Things (IoT) network is investigated. Firstly, the least square (LS) estimators for the direct channel and the cascaded channel […]


Continue.. Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Kavli Affiliate: Wei Gao | First 5 Authors: Yan Wang, Feng Shu, Rongen Dong, Wei Gao, Qi Zhang | Summary: In this paper, channel estimation of an active intelligent reflecting surface (IRS) aided uplink Internet of Things (IoT) network is investigated. Firstly, the least square (LS) estimators for the direct channel and the cascaded channel […]


Continue.. Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT

Scalable microwave-to-optical transducers at single photon level with spins

Kavli Affiliate: Andrei Faraon | First 5 Authors: Tian Xie, Rikuto Fukumori, Jiahui Li, Andrei Faraon, | Summary: Microwave-to-optical transduction of single photons will play an essential role in interconnecting future superconducting quantum devices, with applications in distributed quantum computing and secure communications. Various transducers that couple microwave and optical modes via an optical drive […]


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Derivations of Bloch (Majorana–Bloch) equation, von Neumann equation, and Schrödinger–Pauli equation

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Lihong V. Wang, , , , | Summary: The transition from classical physics to quantum mechanics has been mysterious. Here, we derive the space-independent von Neumann equation for electron spin mathematically from the classical Bloch or Majorana–Bloch equation, which is also derived. Subsequently, the space-independent Schr"odinger–Pauli […]


Continue.. Derivations of Bloch (Majorana–Bloch) equation, von Neumann equation, and Schrödinger–Pauli equation

PCAC-GAN:ASparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

Kavli Affiliate: Wei Gao | First 5 Authors: Xiaolong Mao, Hui Yuan, Xin Lu, Raouf Hamzaoui, Wei Gao | Summary: Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such as the MPEG G-PCC standard. To bridge this gap, we propose a […]


Continue.. PCAC-GAN:ASparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

PCAC-GAN:ASparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

Kavli Affiliate: Wei Gao | First 5 Authors: Xiaolong Mao, Hui Yuan, Xin Lu, Raouf Hamzaoui, Wei Gao | Summary: Learning-based methods have proven successful in compressing geometric information for point clouds. For attribute compression, however, they still lag behind non-learning-based methods such as the MPEG G-PCC standard. To bridge this gap, we propose a […]


Continue.. PCAC-GAN:ASparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression

IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Bo Ai, Joel Loo, Vinay, David Hsu | Summary: This work explores the challenges of creating a scalable and robust robot navigation system that can traverse both indoor and outdoor environments to reach distant goals. We propose a navigation system architecture called IntentionNet that employs […]


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Learning Robust 3D Representation from CLIP via Dual Denoising

Kavli Affiliate: Wei Gao | First 5 Authors: Shuqing Luo, Bowen Qu, Wei Gao, , | Summary: In this paper, we explore a critical yet under-investigated issue: how to learn robust and well-generalized 3D representation from pre-trained vision language models such as CLIP. Previous works have demonstrated that cross-modal distillation can provide rich and useful […]


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High-Efficiency Low-Noise Optomechanical Crystal Photon-Phonon Transducers

Kavli Affiliate: Oskar Painter | First 5 Authors: Sameer Sonar, Utku Hatipoglu, Srujan Meesala, David Lake, Hengjiang Ren | Summary: Optomechanical crystals (OMCs) enable coherent interactions between optical photons and microwave acoustic phonons, and represent a platform for implementing quantum transduction between microwave and optical signals. Optical absorption-induced thermal noise at cryogenic (millikelvin) temperatures is […]


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Functional photoacoustic noninvasive Doppler angiography in humans

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Yang Zhang, Joshua Olick-Gibson, Karteekeya Sastry, Lihong V. Wang, | Summary: Optical imaging of blood flow yields critical functional insights into the circulatory system, but its clinical implementation has typically been limited to shallow depths (~1 millimeter) due to light scattering in biological tissue. Here, we […]


Continue.. Functional photoacoustic noninvasive Doppler angiography in humans