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检索条件"主题词=Signal processing algorithms"
43529 条 记 录,以下是621-630 订阅
排序:
Sidelobe Mitigation in Noise Radar Using Sparse signal processing
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IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE 2020年 第9期35卷 32-40页
作者: de Martin, Lilian van Rossum, Wim Ribeiro, Diogo Anitori, Laura TNO Radar Technol The Hague Netherlands
It is well known that noise-like waveforms have the inherent property of suppressing ambiguities due to their nonrepetitive nature, as opposed to the more classical linear frequency modulated (LFM) pulsed waveforms. T... 详细信息
来源: 评论
Convex Optimization in signal processing
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IEEE signal processing MAGAZINE 2010年 第3期27卷 19-+页
作者: Eldar, Yonina C. Luo, Zhi-Quan Ma, Wing-Kin Palomar, Daniel P. Sidiropoulos, Nicholas D. Spanish University for Distance Education Ciudad Universitaria Madrid Spain Technical University of Valencia Alcoi Spain Burgos University Burgos Spain DMR Consulting Madrid Spain Spanish University for Distance Education Ciudad Úniversitaria Madrid Spain
In recent years, we have witnessed technical breakthroughs in a wide variety of topics where the key to success is the use of convex optimization. In fact, convex optimization has now emerged as a major signal process... 详细信息
来源: 评论
Kernel-Based Learning for Statistical signal processing in Cognitive Radio Networks
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IEEE signal processing MAGAZINE 2013年 第4期30卷 126-136页
作者: Ding, Guoru Wu, Qihui Yao, Yu-Dong Wang, Jinlong Chen, Yingying PLA Univ Sci & Technol Coll Commun Engn Nanjing Jiangsu Peoples R China Southeast Univ Nanjing Jiangsu Peoples R China PLA Univ Sci & Technol Nanjing Jiangsu Peoples R China Stevens Inst Technol Hoboken NJ 07030 USA Carleton Univ Ottawa ON K1S 5B6 Canada Spar Aerosp Ltd Montreal PQ Canada Qualcomm Inc San Diego CA USA IEEE Nanjing Sect Nanjing Jiangsu Peoples R China Stevens Inst Technol Dept Elect & Comp Engn Hoboken NJ USA Alcatel Lucent Holmdel NJ USA
Kernel-based learning (KBL) methods have recently become prevalent in many engineering applications, notably in signal processing and communications. The increased interest is mainly driven by the practical need of be... 详细信息
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Advanced signal processing Methods for Characterization of Schizophrenia
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IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 2021年 第4期68卷 1123-1130页
作者: Masychev, Kirill Ciprian, Claudio Ravan, Maryam Reilly, James P. MacCrimmon, Duncan New York Inst Technol Dept Comp Sci New York NY USA New York Inst Technol Dept Elect & Comp Engn New York NY 10023 USA McMaster Univ Dept Elect & Comp Engn Hamilton ON L8S 4L8 Canada McMaster Univ Dept Psychiat Hamilton ON Canada
Objective: Schizophrenia is a severe mental disorder associated with nerobiological deficits. Auditory oddball P300 have been found to be one of the most consistent markers of schizophrenia. The goal of this study is ... 详细信息
来源: 评论
signal processing and Optimization Tools for Conference Review and Session Assignment
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IEEE signal processing MAGAZINE 2015年 第3期32卷 141-155页
作者: Sidiropoulos, Nicholas D. Tsakonas, Efthymios E. Univ Minnesota Minneapolis MN 55455 USA IEEE Signal Proc Commun & Networking Tech Comm Santa Clara CA USA
Anyone who has served as a technical program committee (TPC) chair for a conference (or program manager for a funding agency) understands that paper (or proposal panel) review assignment is a demanding job that takes ... 详细信息
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Algorithm Unrolling: Interpretable, Efficient Deep Learning for signal and Image processing
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IEEE signal processing MAGAZINE 2021年 第2期38卷 18-44页
作者: Monga, Vishal Li, Yuelong Eldar, Yonina C. Penn State Univ Sch Elect Engn University Pk PA 16802 USA Penn State Univ Elect Engn & Comp Sci Fac University Pk PA 16802 USA Amazon Lab 126 San Jose CA 94089 USA Weizmann Inst Sci Dept Math & Comp Sci IL-7610001 Rehovot Israel Weizmann Inst Sci Ctr Biomed Engn & Signal Proc IL-7610001 Rehovot Israel MIT Cambridge MA 02139 USA Broad Inst Cambridge MA USA Duke Univ Durham NC 27706 USA Israel Acad Sci & Humanities Jerusalem Israel
Deep neural networks provide unprecedented performance gains in many real-world problems in signal and image processing. Despite these gains, the future development and practical deployment of deep networks are hinder... 详细信息
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signal-processing USING IMPLICIT PHASE
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS 1985年 第2期32卷 150-159页
作者: MANRY, MT Department of Electrical Engineering University of Texas Arlington Arlington TX USA
A frequency-domain technique is presented for measuring the average location of the energy of, a sequence. Several properties of the measure are listed and proved. A simple time-domain approximation to the measure is ... 详细信息
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Integrated Sensing and Communication signal processing Based on Compressed Sensing Over Unlicensed Spectrum Bands
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IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING 2024年 第5期10卷 1801-1816页
作者: Liu, Haotian Wei, Zhiqing Li, Fengyun Lin, Yuewei Qu, Hanyang Wu, Huici Feng, Zhiyong Beijing Univ Posts & Telecommun Sch Informat & Commun Beijing 100088 Peoples R China Qingdao Univ Sci & Technol Coll Informat Sci & Technol Qingdao 266061 Shandong Peoples R China ChinaMobile Zijin Innovat Inst Wireless Cloud Network R&D Dept Nanjing 210000 Jiangsu Peoples R China
As a promising key technology of 6th generation (6G) mobile communication system, integrated sensing and communication (ISAC) technology aims to make full use of spectrum resources to enable the functional integration... 详细信息
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Low-power signal processing system design for wireless applications
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IEEE PERSONAL COMMUNICATIONS 1998年 第3期5卷 20-31页
作者: Meng, TH Hung, AC Tsern, EK Gordon, BM Stanford Univ Dept Elect Engn Stanford CA 94305 USA Chromat Res Inc Sunnyvale CA USA Rambus Inc Mountain View CA USA Silicon Real Federal Way WA USA
Our present ability to work with most multimedia data has been confined to a wired environment, requiring both the data source and the receiver to be physically connected to a power supply and a wired communication li... 详细信息
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HIDDEN MARKOV MODEL signal-processing IN PRESENCE OF UNKNOWN DETERMINISTIC INTERFERENCES
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 1993年 第1期38卷 146-152页
作者: KRISHNAMURTHY, V MOORE, JB CHUNG, SH AUSTRALIAN NATL UNIV DEPT CHEMCANBERRAACT 2601AUSTRALIA
In this note, expectation maximization (EM) algorithms are used to extract discrete-time, finite-state Markov signals imbedded in a mixture of Gaussian white-noise and deterministic signals of known functional form wi... 详细信息
来源: 评论