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In the framework of the upgrade of the SPARC_LAB facility at INFN-LNF, named EuPRAXIA@SPARC_LAB, a high gradient linac is foreseen. One of the most suitable options is to realize it in X-band. A preliminary design study of both accelerating…

This paper presents a novel LoRa (Long Range) receiver operating in frequency selective Multi-Path Channel (MPC). The dechirped received LoRa wave-forms under MPC allows us to derive a simple and efficient LoRa receiver scheme by using a MF…

Signal Processing · Electrical Eng. & Systems 2022-03-22 Clement Demeslay , Philippe Rostaing , Roland Gautier

A superconducting RF accelerator test facility is being constructed at Fermilab. The existing New Muon Lab (NML) building is being converted for this facility. The accelerator will consist of an electron gun, injector, beam acceleration…

Structure wakefield acceleration (SWFA) is one of the most promising AAC schemes in several recent strategic reports, including DOE's 2016 AAC Roadmap, report on the Advanced and Novel Accelerators for High Energy Physics Roadmap (ANAR),…

Current radio frequency (RF) sensors at the Edge lack the computational resources to support practical, in-situ training for intelligent spectrum monitoring, and sensor data classification in general. We propose a solution via Deep Delay…

Signal Processing · Electrical Eng. & Systems 2021-07-01 Silvija Kokalj-Filipovic , Paul Toliver , William Johnson , Rob Miller

This paper presents a comprehensive analysis and performance enhancement of short block length channel detection incorporating training information. The current communication systems' short block length channel detection typically consists…

Information Theory · Computer Science 2025-11-25 Mody Sy , Raymond Knopp

A novel quantity for predicting the high-gradient performance of radio frequency accelerating structures is presented. The quantity is motivated, derived and compared with earlier high-gradient limits and experiments. This new method models…

Accelerator Physics · Physics 2022-10-03 Jan Paszkiewicz , Alexej Grudiev , Walter Wuensch

The China spallation neutron source (CSNS) linac is designed with beam energy of 81MeV and a peak current of 15mA in the first phase. The RF power system for the 81 MeV Linac requires 8 units of RF power sources, each unit has one…

Accelerator Physics · Physics 2019-09-26 Linyan Rong , Zhencheng Mu , Zhexin Xie , Bo Wang , Wenzhong Zhou , Maliang Wan , Meifei Liu , Jian Li , Xinan Xu

The ubiquitousness of location based services (LBS) has proven effective for many applications such as commercial, military, and emergency responders. Software-defined radio (SDR) has emerged as an adequate framework for development and…

Signal Processing · Electrical Eng. & Systems 2019-02-20 Erick Schmidt , David Akopian , Daniel J. Pack

The first generation Low-Level radio frequency(LLRF) control system independently developed by IMPCAS, the operating frequency is 162.5MHz for China ADS, which consists of superconducting cavity amplitude stability control, phase stability…

Accelerator Physics · Physics 2014-06-06 Zhenglong Zhu , Xianwu Wang , Lianghua Wen , Wei Chang , Ruifeng Zhang , Zheng Gao , Qi Chen

Clustered Low Rank (CLR) framework for block-sparse and block-low-rank tensor representation and computation is described. The CLR framework depends on 2 parameters that control precision: one controlling the CLR block rank truncation and…

Chemical Physics · Physics 2017-08-23 Cannada A. Lewis , Justus A. Calvin , Edward F. Valeev

The first version of digital low level RF (DLLRF) for the Diamond Light Source storage ring and booster was developed with ALBA Synchrotron. Six systems have been built so far. Two of them are in routine operation controlling two normal…

Accelerator Physics · Physics 2022-10-10 P Gu , C. Christou , P. Hamadyk , G. B. Christian , D. Spink , A. Tropp

Federated learning (FL) has emerged as a widely adopted paradigm for enabling edge learning with distributed data while ensuring data privacy. However, the traditional FL with deep neural networks trained via backpropagation can hardly meet…

Machine Learning · Computer Science 2025-11-05 Jierui Zhang , Jianhao Huang , Kaibin Huang

The J-PARC linac was consist of 324MHz low-{\beta} section and 972MHz high-{\beta} section. There is a total of 48 stations. And each station was equipped with an independent LLRF (Low-Level Radio Frequency) system to realize an…

Accelerator Physics · Physics 2018-03-28 S. Li , K. Futatsukawa , Y. Fukui , Z. Fang , S. Shinozaki , Y. Sato , S. Mizobata

Linear mixed models (LMM) are widely adopted in genome-wide association studies (GWAS) to account for population stratification and cryptic relatedness. However, the parameter estimation of LMMs imposes substantial computational burdens due…

Computation · Statistics 2025-08-08 Zhibin Pu , Shufei Ge , Shijia Wang

This work reports the performance evaluation of an SDR readout system based on the latest generation (Gen3) of the AMD's Radio Frequency System-on-Chip (RFSoC) processing platform, which integrates a full-stack processing system and a…

In this work, we introduce and experimentally demonstrate a photonic frequency-multiplexed next generation reservoir computer (FM-NGRC) capable of performing real-time inference at GHz speed. NGRCs apply a feed-forward architecture to…

Optics · Physics 2024-11-15 Nicholas Cox , Joseph Murray , Joseph Hart , Brandon Redding

Rydberg atomic receivers have recently emerged as a promising platform for radio-frequency (RF) sensing and reception due to their intrinsic broadband response and calibration-free operation. Most existing receivers rely on four-level…

Quantum Physics · Physics 2026-04-15 Lahiru Shyamal , Harini Hapuarachchi , Saman Atapattu , Jared H. Cole

The increasing diversity and complexity of transformer workloads at the edge present significant challenges in balancing performance, energy efficiency, and architectural flexibility. This paper introduces NX-CGRA, a programmable hardware…

Hardware Architecture · Computer Science 2025-11-24 Rohit Prasad

We present a simple and scalable implementation of next-generation reservoir computing (NGRC) for modeling dynamical systems from time-series data. The method uses a pseudorandom nonlinear projection of time-delay embedded inputs, allowing…

Machine Learning · Statistics 2026-01-12 Rok Cestnik , Erik A. Martens
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