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Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach

IEEE Transactions on Wireless Communications 2023年第3期22卷 1808-1822页

作者： He, Hengtao Wang, Rui Jin, Weijie Jin, Shi Wen, Chao-Kai Li, Geoffrey Ye Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Hong Kong The Hong Kong Polytechnic University Department of Electronic and Information Engineering Hong Kong Hong Kong Imperial College London Department of Electrical and Electronic Engineering LondonSW7 2BX United Kingdom Southeast University National Mobile Communications Research Laboratory Nanjing210096 China

Millimeter-wave (mmWave) communications have been one of the promising technologies for future wireless networks that integrate a wide range of data-demanding applications. To compensate for the large channel attenuation in mmWave band and avoid high hardware cost, a lens-based beamspace massive multiple-input multiple-output (MIMO) system is considered. However, the spatial-wideband effect in wideband mmWave systems makes channel estimation very challenging, especially when the receiver is equipped with a limited number of radio-frequency (RF) chains. Furthermore, the real channel data cannot be obtained before the mmWave system is used in a new environment, which makes it impossible to train a deep learning (DL)-based channel estimator using real data set beforehand. To solve the problem, we propose a model-driven unsupervised learning network, named learned denoising-based generalized expectation consistent (LDGEC) signal recovery network. By utilizing the Stein's unbiased risk estimator loss, the LDGEC network can be trained only with limited measurements corresponding to the pilot symbols, instead of the real channel data. Even if designed for unsupervised learning, the LDGEC network can be supervisingly trained with the real channel via the denoiser-by-denoiser way. The numerical results demonstrate that the LDGEC-based channel estimator significantly outperforms state-of-the-art compressive sensing-based algorithms when the receiver is equipped with a small number of RF chains and low-resolution ADCs. © 2002-2012 IEEE.

关键词： Channel estimation

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Scalable Feedback Stabilization of Quantum Light Sources on a CMOS Chip

arXiv

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arXiv 2024年

作者： Kramnik, Danielius Wang, Imbert Ramesh, Anirudh Fargas Cabanillas, Josep M. Gluhović, Ðorđe Buchbinder, Sidney Zarkos, Panagiotis Adamopoulos, Christos Kumar, Prem Stojanović, Vladimir M. Popović, Miloš A. Department of Electrical Engineering and Computer Sciences University of California Berkeley BerkeleyCA94709 United States Department of Electrical and Computer Engineering and Photonics Center Boston University BostonMA02215 United States Center for Photonic Communication and Computing Department of Electrical and Computer Engineering Northwestern University EvanstonIL60208 United States

Silicon photonics is a leading platform for realizing the vast numbers of physical qubits needed to achieve useful quantum information processing because it leverages mature complementary metal-oxide-semiconductor (CMOS) manufacturing to integrate on-chip thousands of optical devices for generating and manipulating quantum states of light. A challenge to the practical operation and scale-up of silicon quantum-photonic integrated circuits, however, is the need to control their extreme sensitivity to process and temperature variations, free-carrier and self-heating nonlinearities, and thermal crosstalk. To date these challenges have been partially addressed using bulky off-chip electronics, sacrificing many benefits of a chip-scale platform and limiting the practically achievable system size. Here, we demonstrate the first electronic-photonic quantum system-on-chip (EPQSoC) consisting of quantum-correlated photon-pair sources stabilized via on-chip feedback control circuits, which is fabricated in a high-volume 45 nm CMOS microelectronics foundry. We use non-invasive photocurrent sensing in a tunable microring cavity photon-pair source to actively lock it to a fixed-wavelength pump laser while operating in the quantum regime, enabling large scale microring-based quantum systems. This is the first demonstration of such a capability, achieving a high coincidences-to-accidentals ratio of ∼134 with an ultra-low g(2)(0) of 0.021 at ∼2.2 kHz off-chip detected pair rate and ∼3.3 MHz/mW2 on-chip pair generation efficiency, and over 100 kHz off-chip detected pair rate at higher pump powers (∼1.5 MHz on-chip). We show that these sources maintain stable quantum properties in the presence of temperature variations and operate reliably in a practical setting with many adjacent photon-pair sources creating thermal disturbances on the same chip. Such dense integration of electronics and photonics enables implementation and control of quantum-photonic systems at the scale needed to a

关键词： CMOS integrated circuits

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Design and Implementation of a Flat-Focal-Field Arrayed Waveguide Grating on a Si3N4Platform

Design and Implementation of a Flat-Focal-Field Arrayed Wave...

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2022 IEEE Photonics Conference, IPC 2022

作者： Zhan, Jiahao Zhang, Yang Veilleux, Sylvain Dagenais, Mario University of Maryland Department of Electrical and Computer Engineering College ParkMD United States University of Maryland Department of Astronomy College ParkMD United States

We present the design and implementation of a flat-focal-field arrayed waveguide grating, which solves the non-flat focal surface problem in Rowland AWGs. This design can accommodate a butt-coupled detector array posi... 详细信息

ISBN: (数字)9781665434874

ISBN: (纸本)9781665434874

关键词： Arrayed waveguide gratings

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Detection of Leukemia Disease using Convolutional Neural Network 5

Detection of Leukemia Disease using Convolutional Neural Net...

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5th International Conference on Image Processing and Capsule Networks, ICIPCN 2024

作者： Sinha, Raj Sinha, Keshav Kumar Patel, Meeta Gupta, Sandeep Priya, Sannu Lovely Professional University School of Computer Applications Punjab India Patna Medical College Department of Pharmacology Bihar Patna India Bhagwan Mahavir lnstitute of Medical Sciences Pawapuri Nalanda India Department of Electrical Engineering Uttarakhand Dehradun India Dr. K N Modi University Computer science & Engineering Rajasthan Newai India

ISBN: (纸本)9798350367171

Leukemia is a type of cancerous development that starts in the patient's bone marrow. The true cause of leukemia is the production of incredibly odd white platelets present in the bone marrow. The main problem in the symptomatic sector is accurately identifying and diagnosing malignant leukocytes early in the disease, which is the first stage of leukemia. Machine learning techniques applied to blood smear images can help in the detection of leukemia and the temporary identification of abnormality subtypes, enabling the commencement of therapy as soon as possible. A CNN model is proposed in this research study to predict the leukemia disease. © 2024 IEEE.

关键词： Convolutional neural networks

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Improving Efficiency of Panel Using Water Spraying Technique 3

Improving Efficiency of Panel Using Water Spraying Technique

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3rd IEEE Asian Conference on Innovation in Technology, ASIANCON 2023

作者： Sharma, Ashish Garg, Rinku Awasthi, Ankur Sexana, Aditi Kaur, Harsimranpreet Alkhayyat, Ahmed Chandigarh University Electrical Engineering Department Mohali India University Institute of Computing Chandigarh University Mohali India Ies College of Technolgy Ies University Department of Cse Bhopal India Gla University Department of Ece Mathura India Gulzar Group of Institutions Department of Cse Khanna India College of Technical Engineering The Islamic University Najaf Iraq

ISBN: (纸本)9798350302288

Water spray application over the surface of pho-tovoltaic (PV) panels as a potential alternate cooling method is discussed. Water spray cooling was used as an alternate method since both sides of the PV panel could be cooled at once;this allowed researchers to examine how cooling affected the performance of the panels under conditions of maximum solar radiation. When cooling the front and rear of PV panels at the same time, the average panel temperature dropped from 54 C (uncooled PV panel) to 24 C. It was also established that the proposed water spray cooling method is economically viable, with the main benefit relating to the surface of the PV panel and its self-cleaning effect, which serves as an additional boost to the average provided electricity. One technique to improve the efficiency of a PV panel is to use this water-cooling device to keep it at a low temperature while it is in use. © 2023 IEEE.

关键词： Solar panels

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Accurate Measurement of Wavelength-Dependent Beam Parameters of a Supercontinuum Laser Source Focused by a Lensed Fiber Probe

Accurate Measurement of Wavelength-Dependent Beam Parameters...

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2024 Specialty Optical Fibers, SOF 2024

作者： Chang, Kuan-Yuan Hsu, Jun-Cheng Liu, Jia-Ming College of Photonics National Yang Ming Chiao Tung University Tainan Taiwan Electrical and Computer Engineering Department University of California Los AngelesCA United States Graduate Institute of Optoelectronic Engineering National Chung Hsing University Taichung Taiwan

A supercontinuum (SC) laser is focused by an optical lensed fiber (OLF). By applying a spectrometer to measure back-coupling efficiency, multi-wavelength parameters of the OLF probe and the focused SC laser beam can b... 详细信息

关键词： Probes

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Is Your Style Transfer Doing Anything Useful? An Investigation into Hippocampus Segmentation and the Role of Preprocessing 7th

Is Your Style Transfer Doing Anything Useful? An Investigati...

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7th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2024, Held in Conjunction with 27th International Conference on Medical Image computing and computer-Assisted Intervention, MICCAI 2024

作者： Kalabizadeh, Hoda Griffanti, Ludovica Yeung, Pak-Hei Voets, Natalie Gillis, Grace Mackay, Clare Namburete, Ana IL Dinsdale, Nicola K. Kamnitsas, Konstantinos Department of Computer Science University of Oxford Oxford United Kingdom Department of Psychiatry University of Oxford Oxford United Kingdom College of Computing and Data Science Nanyang Technological University Singapore Singapore Nuffield Department of Clinical Neurosciences University of Oxford Oxford United Kingdom Department of Engineering Science University of Oxford Oxford United Kingdom

ISBN: (纸本)9783031787607

Brain atrophy assessment in MRI, particularly of the hippocampus, is commonly used to support diagnosis and monitoring of dementia. Consequently, there is a demand for accurate automated hippocampus quantification. Most existing segmentation methods have been developed and validated on research datasets and, therefore, may not be appropriate for clinical MR images and populations, leading to potential gaps between dementia research and clinical practice. In this study, we investigated the performance of segmentation models trained on research data that were style-transferred to resemble clinical scans. Our results highlighted the importance of intensity normalisation methods in MRI segmentation, and their relation to domain shift and style-transfer. We found that whilst normalising intensity based on min and max values, commonly used in generative MR harmonisation methods, may create a need for style transfer, Z-score normalisation effectively maintains style consistency, and optimises performance. Moreover, we show for our datasets spatial augmentations are more beneficial than style harmonisation. Thus, emphasising robust normalisation techniques and spatial augmentation significantly improves MRI hippocampus segmentation. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Clinical research

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Secure and Robust Optical Multi-Stage Medical Image Cryptosystem

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computers, Materials & Continua 2022年第1期70卷 895-913页

作者： Walid El-Shafai Moustafa H.Aly Abeer D.Algarni Fathi E.Abd El-Samie Naglaa F.Soliman Department Electronics and Electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Electronics and Communications Engineering College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Electronics and Communications Faculty of EngineeringZagazig UniversityZagazig44519Egypt

Due to the rapid growth of telemedicine and healthcare services,color medical image security applications have been expanded *** this paper,an asymmetric PTFrFT(Phase Truncated Fractional Fourier Transform)-based color medical image cryptosystem is *** different phases in the fractional Fourier and output planes are provided as deciphering ***,the ciphering keys will not be employed for the deciphering ***,the introduced PTFrFT algorithm comprises asymmetric ciphering and deciphering processes in contrast to the traditional optical symmetric OSH(Optical Scanning Holography)and DRPE(Double Random Phase Encoding)*** of the principal impacts of the introduced asymmetric cryptosystem is that it eliminates the onedimensionality aspects of the related symmetric cryptosystems due to its remarkable feature of phase nonlinear truncation *** comparisons on various colormedical images are examined and analyzed to substantiate the cryptosystem *** achieved experimental outcomes ensure that the introduced cryptosystem is robust and *** has terrific cryptography performance compared to conventional cryptography algorithms,even in the presence of noise and severe channel attacks.

关键词： Optical encryption medical image security symmetric and asymmetric encryption OSH DRPE PTFrFT

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Text Classification into Emotional States Using Deep Learning based BERT Technique 4

Text Classification into Emotional States Using Deep Learnin...

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4th IEEE Global Conference for Advancement in Technology, GCAT 2023

作者： Azam, Farooque Gloire, Mpanga wa Lukalaba Priyadarshi, Neeraj Kumari, Sneha School of Computer Science and Engineering REVA University Karnataka Bangalore India Department of Electrical Engineering JIS College of Engineering Kolkata741235 India Dept. of Comp. Sc. & Engg. Katihar Engg. College Bihar 854109 India

ISBN: (纸本)9798350305258

Classifying text into states of emotions is the most challenging task in processing natural languages, and it is even harder due to the absence of facial expressions in the sentences. Therefore, it is needed to determine what kind of emotions the texts or words communicate. Categorization of texts into sentimental text is extremely helpful and could be utilised across a variety of fields that include information mining, psychology, human-computer interaction, and many more. This research paper uses the BERT transformer from the hugging face library to classify and generate the results. The dataset comes from reviews collected from the google play store and is used to train the model;the model can be used to conclude which apps are better among the selected apps. Apart from this, the model may help developers to read the massive number of reviews written for a particular app and get new features or bugs written in the reviews. © 2023 IEEE.

关键词： BERT Emotion recognition Formal text Hugging Face

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Analysis and Design of Differential Complex Neutralization Power Amplifiers for Efficient-Yet-Linear High Mm-Wave Applications

Analysis and Design of Differential Complex Neutralization P...

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Microwave, MTT-S International Symposium

作者： Mohamed Eleraky Tzu-Yuan Huang Yuqi Liu Hua Wang Department of Information Technology and Electrical Engineering ETH Zürich Switzerland College of Electrical and Computer Engineering Georgia Institute of Technology USA

ISBN: (数字)9798350375046

ISBN: (纸本)9798350375053

This paper presents a systematic design and optimization methodology to enhance the power gain of a given device towards its theoretically maximum stable power gain 4U, U as the Mason's Unilateral power gain, over a wide bandwidth. A device-level Gain-Bandwidth product (GBW) metric is also defined to assess high mm-Wave device gain boosting. The proposed technique exploits a high-order complex neutralization embedding network on a differential power device pair. For proof-of-concept, a D-band 3-stage PA with two-way power combining is implemented in GlobalFoundries 45 nm SOI process. The measurements show a peak power gain of 21.7 dB with a 3-dB BW of 15 GHz (117-132 GHz) in a compact area of 0.116 mm2. The wideband device gain enhancement allows the PA to operate in class-AB biasing, achieving efficient-yet-linear operations at 127.5 GHz with $\mathrm{P}_{\text{sat}}$ and OP1dB of 11.9 and 11.85 dBm respectively and a peak PAE of 15%.

关键词： Systematics Power measurement Design methodology Power amplifiers Boosting Routing Microwave theory and techniques

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