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Daniel Bourreau - IEEE Xplore Author Profile

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Author details

Daniel Bourreau

Also published under: D. Bourreau

Publications

17

Citations

136

Publications by Year

19882021

Co-Authors:

Pascal CoantJ. Ph CoupezEmmanuel DanielB. DeliaJean-Michel Denoual

Show All Co-Authors (36)

Daniel Bourreau

Also published under: D. Bourreau

Affiliation

Lab-STICC

UMR 6285 CNRS

IMT Atlantique, Brest, France

Publication Topics

Reflection Coefficient,
Sintering,
Thermal Expansion,
Center-to-center Distance,
Deformation Problems,
Delamination,
Design Results,
Dielectric Constant,
Dielectric Function,
Dielectric Permittivity,
Dielectric Slab,
Free Space

Biography

Daniel Bourreau was born in Voultegon, France, in 1959. He received the Ph.D. degree in electronics from the University of Lille, Lille, France, in 1989.,He joined the Laboratoire d'Electronique et de Systèmes des Télécommunications de Bretagne, Ecole Nationale Supérieure des Télécommunications, Brest, France, in 1989. He is currently an Associate Professor, and his research interests include microwave and millimeter-wave oscillators and power generation using combining and quasi-optical techniques.(Based on document published on 20 November 2006).

Publications

17

Citations

136

Publications by Year

19882021

Co-Authors:

Pascal Coant
J. Ph Coupez
Emmanuel Daniel
B. Delia
Jean-Michel Denoual

Show All Co-Authors (36)

Author's Published Works

Search History

Showing 1-25 of 57,211 resultsfor "Index Terms":signal mapping

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Early Access Articles (108)

Standards (67)

Books (2)

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Results

Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models

S. Faisan;L. Thoraval;J.-P. Armspach;M.-N. Metz-Lutz;F. Heitz

IEEE Transactions on Medical Imaging

Year: 2005 | Volume: 24, Issue: 2 | Journal Article |

Cited by: Papers (21)

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A novel functional magnetic resonance imaging (fMRI) brain mapping method is presented within the statistical modeling framework of hidden semi-Markov event sequence models (HSMESMs). Neural activation detection is formulated at the voxel level in terms of time coupling between the sequence of hemodynamic response onsets (HROs) observed in the fMRI signal, and an HSMESM of the hidden sequence of t...Show More

Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models

S. Faisan;L. Thoraval;J.-P. Armspach;M.-N. Metz-Lutz;F. Heitz

IEEE Transactions on Medical Imaging

Year: 2005 | Volume: 24, Issue: 2 | Journal Article |

Efficient assignment algorithm for mapping multidimensional signals into the physical memory

Ilie I. Luican;Hongwei Zhu;Florin Balasa

2008 IEEE International Conference on Acoustics, Speech and Signal Processing

Year: 2008 | Conference Paper |

Cited by: Papers (1)

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The storage requirements in data-intensive multidimensional signal processing systems have a significant impact on the system performance as well as on essential design parameters, like the overall power consumption and chip area. This paper addresses the problem of efficiently mapping the multidimensional signals from the algorithmic specification of the system into the physical memory. Different...Show More

Efficient assignment algorithm for mapping multidimensional signals into the physical memory

Ilie I. Luican;Hongwei Zhu;Florin Balasa

2008 IEEE International Conference on Acoustics, Speech and Signal Processing

Year: 2008 | Conference Paper |

The high-frequency weak signal detection based on stochastic resonance

Jianhui Wang;Qian Xiao;Xing Li

2009 International Conference on Test and Measurement

Year: 2009 | Conference Paper |

Cited by: Papers (2)

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Aiming at the issue of the traditional stochastic resonance only applicable to deal with low-frequency signals, a high-frequency weak signal detection method based on stochastic resonance is proposed. By analyzing the relationship among the traditional stochastic resonance model parameters, the input signal amplitude, the noisy signal and the signal to noise ratio of output, an additional gain is ...Show More

The high-frequency weak signal detection based on stochastic resonance

Jianhui Wang;Qian Xiao;Xing Li

2009 International Conference on Test and Measurement

Year: 2009 | Volume: 1 | Conference Paper |

Non-invasive Fetal ECG Signal Quality Assessment based on Unsupervised Learning Approach

Xintong Shi;Kohei Yamamoto;Tomoaki Ohtsuki;Yutaka Matsui;Kazunari Owada

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Year: 2022 | Conference Paper |

Cited by: Papers (7)

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The non-invasive fetal electrocardiogram (FECG) derived from abdominal surface electrodes has been widely used for fetal heart rate (FHR) monitoring to assess fetal well-being. However, the accuracy of FECG-based FHR estimation heavily depends on the quality of FECG signal itself, which can generally be affected by several interference sources such as maternal heart activities and fetal movements....Show More

Non-invasive Fetal ECG Signal Quality Assessment based on Unsupervised Learning Approach

Xintong Shi;Kohei Yamamoto;Tomoaki Ohtsuki;Yutaka Matsui;Kazunari Owada

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Year: 2022 | Conference Paper |

Batch Drilling Process Quality Inspection Based on Vibration Signal Mapping Model

Youhang Zhou;Haihua Zhang

2010 International Conference on Intelligent Computation Technology and Automation

Year: 2010 | Conference Paper |

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To inspect the quality of batch drilling quickly, a new approach based on vibration signals is presented in this paper. Firstly, according to the contact conditions between drilling blades and workpiece, three stages closely related with the drilling quality is extracted from the whole drilling process and they are named the stage of drilling guide, the stage of drilling and the stage of drilling ...Show More

Batch Drilling Process Quality Inspection Based on Vibration Signal Mapping Model

Youhang Zhou;Haihua Zhang

2010 International Conference on Intelligent Computation Technology and Automation

Year: 2010 | Volume: 1 | Conference Paper |

Signal Assignment to Hierarchical Memory Organizations for Embedded Multidimensional Signal Processing Systems

Florin Balasa;Hongwei Zhu;Ilie I. Luican

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Year: 2009 | Volume: 17, Issue: 9 | Journal Article |

Cited by: Papers (8)

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The storage requirements of the array-dominated and loop-organized algorithmic specifications running on embedded systems can be significant. Employing a data memory space much larger than needed has negative consequences on the energy consumption, latency, and chip area. Finding an optimized storage of the usually large arrays from these algorithmic specifications is an essential task of memory a...Show More

Signal Assignment to Hierarchical Memory Organizations for Embedded Multidimensional Signal Processing Systems

Florin Balasa;Hongwei Zhu;Ilie I. Luican

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Year: 2009 | Volume: 17, Issue: 9 | Journal Article |

Improving Digital Connectivity Using Real-Time Signal Mapping and Adaptive Network Planning for IoT and 5G Networks

Dileep Reddy Bolla;Apoorva;Aashritha Suresh Poojary;Ramesh Naidu

2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)

Year: 2025 | Conference Paper |

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The goal of this project is to increase digital connection in expansive settings, such college campuses, by utilizing 5G IoT Repeaters for adaptive network planning and real-time signal mapping. Weak signal areas in a grid-based model are identified using a MATLAB-based simulation framework, and additional IoT devices (5G Repeaters) are positioned strategically to improve network coverage. Signal ...Show More

Improving Digital Connectivity Using Real-Time Signal Mapping and Adaptive Network Planning for IoT and 5G Networks

Dileep Reddy Bolla;Apoorva;Aashritha Suresh Poojary;Ramesh Naidu

2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)

Year: 2025 | Conference Paper |

Mapping design of a four-dimensional 32-ary signal constellation over an AWGN channel

Jianyong Zhang;Ivan B. Djordjevic

China Communications

Year: 2014 | Volume: 11, Issue: 7 | Magazine Article |

Cited by: Papers (1)

In the bit-interleaved coded modulation with iterative decoding, it is desired that any two Hamming neighbors, i.e., signal constellation points whose binary labels are at unit Hamming distance, be separated by a large Euclidean distance. This paper determines the mappings for the 32-ary four-dimensional generalized cross constellation (32-4D-GCC) so that the minimum squared Euclidean distance d2m...Show More

Mapping design of a four-dimensional 32-ary signal constellation over an AWGN channel

Jianyong Zhang;Ivan B. Djordjevic

China Communications

Year: 2014 | Volume: 11, Issue: 7 | Magazine Article |

Using recurrence quantification analysis determinism for noise removal in cardiac optical mapping

M.D. Furman;J.D. Simonotto;T.M. Beaver;M.L. Spano;W.L. Ditto

IEEE Transactions on Biomedical Engineering

Year: 2006 | Volume: 53, Issue: 4 | Journal Article |

Cited by: Papers (5)

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Selecting signal processing parameters in optical imaging by utilizing the change in Determinism, a measure introduced in Recurrence Quantification Analysis, provides a novel method using the change in residual noise Determinism for improving noise quantification and removal across signals exhibiting disparate underlying tissue pathologies. The method illustrates an improved process for selecting ...Show More

Using recurrence quantification analysis determinism for noise removal in cardiac optical mapping

M.D. Furman;J.D. Simonotto;T.M. Beaver;M.L. Spano;W.L. Ditto

IEEE Transactions on Biomedical Engineering

Year: 2006 | Volume: 53, Issue: 4 | Journal Article |

Perturbation analysis of the effects of B1+ errors on parallel excitation in MRI

Chao Ma;Dan Xu;Kevin F. King;Zhi-Pei Liang

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Year: 2009 | Conference Paper |

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Design of RF pulses for parallel excitation using phased array transmit coils in MRI requires the B1 + maps that are estimated from B1 + mapping experiments. This paper characterizes the effects of B1 + mapping errors on the resulting excitation pattern using a small perturbation analysis based on linearization of the Bloch equation. The accuracy of the proposed perturbation analysis is validated ...Show More

Perturbation analysis of the effects of B1+ errors on parallel excitation in MRI

Chao Ma;Dan Xu;Kevin F. King;Zhi-Pei Liang

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Year: 2009 | Conference Paper |

JSCC using bandwidth reducing and expanding mappings

Hatem El Meddeb;Noureddine Hamdi;Ammar Bouallegue

2008 11th IEEE Singapore International Conference on Communication Systems

Year: 2008 | Conference Paper |

Cited by: Papers (1)

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A joint source channel coding scheme has been proposed to optimize the mapping vector quantizer (VQ)-modulator symbols. The proposed tow-step-algorithm optimizes first the mapping source codes-modulator symbols, and then optimizes VQ against the channel noise. To reach the target codebook size these steps are repeated iteratively. To show the proposed algorithm performance, it has been applied to ...Show More

JSCC using bandwidth reducing and expanding mappings

Hatem El Meddeb;Noureddine Hamdi;Ammar Bouallegue

2008 11th IEEE Singapore International Conference on Communication Systems

Year: 2008 | Conference Paper |

Three-dimensional filtering approach to brain potential mapping

IEEE Transactions on Biomedical Engineering

Year: 1999 | Volume: 46, Issue: 5 | Journal Article |

Cited by: Papers (6)

The spatial distribution of electroencephalogram (EEG) features on the scalp surface, both in time or frequency, is of great importance in clinical applications and medical research. Traditionally, mathematical methods based on interpolation algorithms have been widely applied to obtain the EEG mappings. This paper presents an innovative approach to reconstructing the brain potential mappings from...Show More

Three-dimensional filtering approach to brain potential mapping

IEEE Transactions on Biomedical Engineering

Year: 1999 | Volume: 46, Issue: 5 | Journal Article |

Online methods for radio signal mapping with mobile robots

Jonathan Fink;Vijay Kumar

2010 IEEE International Conference on Robotics and Automation

Year: 2010 | Conference Paper |

Cited by: Papers (74) | Patents (1)

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In this paper we explore methods for the online mapping of received radio signal strength with mobile robots and localizing the source of the radio signal. By utilizing Gaussian processes, we are able to build an online model of the signal-strength map that can, in turn, be used to provide the current maximum likelihood estimate of the source location. Furthermore, using the estimate of the source...Show More

Online methods for radio signal mapping with mobile robots

Jonathan Fink;Vijay Kumar

2010 IEEE International Conference on Robotics and Automation

Year: 2010 | Conference Paper |

GCPS: A CNN Performance Evaluation Criterion for Radar Signal Intrapulse Modulation Recognition

Zhengyang Yu;Jianlong Tang;Zhao Wang

IEEE Communications Letters

Year: 2021 | Volume: 25, Issue: 7 | Journal Article |

Cited by: Papers (20)

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In radar intrapulse modulation recognition through convolutional neural networks (CNN), the recognition rate vis-a-vis varying signal-to-noise ratios (SNRs) is utilized to analyze the performance of networks. However, three shortcomings exist in this realm, (1) Proportional increase in recognition rate up to 100%, due to SNR increase, leading to saturation. (2) The dependency of recognition rate o...Show More

GCPS: A CNN Performance Evaluation Criterion for Radar Signal Intrapulse Modulation Recognition

Zhengyang Yu;Jianlong Tang;Zhao Wang

IEEE Communications Letters

Year: 2021 | Volume: 25, Issue: 7 | Journal Article |

Design and Implementation of WebGIS in Wireless Coverage Test System Based on Web Technologies

Wei Liu;Fei Yang;Yunwei Zhao

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

Year: 2020 | Conference Paper |

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In order to visualize and analyze the Wireless Signal Coverage Test data from a unique perspective, we designed and implemented a software built-in GIS in the process of developing the desktop software of wireless signal measurement-analysis system based on web technologies. The GIS is developed based on open source web technologies, supports a variety of online and offline tiles maps, can be togg...Show More

Design and Implementation of WebGIS in Wireless Coverage Test System Based on Web Technologies

Wei Liu;Fei Yang;Yunwei Zhao

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

Year: 2020 | Volume: 1 | Conference Paper |

Application of integrated reflected GPS signals L1/L2 observation and DTED techniques with an integrated GPS receiver for remote sensing stream flow

Lie-Chung Shen;Jyh-Ching Juang;Ching-Lang Tsai;Ching-Liang Tseng;Ping-Ya Ko;Houng-Shenq Chen

2007 International Waveform Diversity and Design Conference

Year: 2007 | Conference Paper |

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In the paper, a new application and development of a highly integrated GPS receiver with reflected GPS signals for ground object detection and digital terrain elevation mapping will be described. Several application considerations have been analyzed in order to successfully acquire and track weak, reflected GPS signals from ground surface. First of all, both RHCP and LHCP antennas are employed so ...Show More

Application of integrated reflected GPS signals L1/L2 observation and DTED techniques with an integrated GPS receiver for remote sensing stream flow

Lie-Chung Shen;Jyh-Ching Juang;Ching-Lang Tsai;Ching-Liang Tseng;Ping-Ya Ko;Houng-Shenq Chen

2007 International Waveform Diversity and Design Conference

Year: 2007 | Conference Paper |

A Computational Multiresolution BOLD fMRI Model

Zikuan Chen;Vince Calhoun

IEEE Transactions on Biomedical Engineering

Year: 2011 | Volume: 58, Issue: 10 | Journal Article |

Cited by: Papers (8) | Patents (1)

Blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is a widely used method for brain mapping. BOLD fMRI signal detection is based on an intravoxel dephasing mechanism. This model involves bulk nuclear spin precession in a BOLD-induced inhomogeneous magnetic field within a millimeter-resolution voxel, that is, BOLD signal formation spans a huge spatial scale range...Show More

A Computational Multiresolution BOLD fMRI Model

Zikuan Chen;Vince Calhoun

IEEE Transactions on Biomedical Engineering

Year: 2011 | Volume: 58, Issue: 10 | Journal Article |

Novel Method for Multi-Dimensional Mapping of Higher Order Modulations for BICM-ID Over Rayleigh Fading Channels

Hassan M. Navazi;Md. Jahangir Hossain

IEEE Transactions on Wireless Communications

Year: 2019 | Volume: 18, Issue: 2 | Journal Article |

Cited by: Papers (4)

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Multi-dimensional (MD) mapping offers more flexibility in mapping design for bit-interleaved coded modulation with iterative decoding (BICM-ID) and potentially improves the bandwidth efficiency. However, for higher order signal constellations, finding suitable MD mappings is a very complicated task due to the large number of possible mappings. In this paper, a novel mapping method is introduced to...Show More

Novel Method for Multi-Dimensional Mapping of Higher Order Modulations for BICM-ID Over Rayleigh Fading Channels

Hassan M. Navazi;Md. Jahangir Hossain

IEEE Transactions on Wireless Communications

Year: 2019 | Volume: 18, Issue: 2 | Journal Article |

Analysis of outdoor propagation and multi-cell coverage from ray-based simulations in sub-6GHz and mmwave bands

Yoann Corre;Thierry Tenoux;Julien Stéphan;Florian Letourneux;Yves Lostanlen

2016 10th European Conference on Antennas and Propagation (EuCAP)

Year: 2016 | Conference Paper |

Cited by: Papers (11)

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This paper analyses the outdoor small-cell millimeter-wave (mmW) propagation using ray-based simulation tools. The main characteristics of the wireless channel, i.e. path loss, delay and angular spreads, are characterized through various small-cell scenarios, and by comparison between several frequency bands. The 2.4 GHz and 5 GHz bands represent the traditional sub-6GHz frequencies in public radi...Show More

Analysis of outdoor propagation and multi-cell coverage from ray-based simulations in sub-6GHz and mmwave bands

Yoann Corre;Thierry Tenoux;Julien Stéphan;Florian Letourneux;Yves Lostanlen

2016 10th European Conference on Antennas and Propagation (EuCAP)

Year: 2016 | Conference Paper |

Spatial dependence of CBV-fMRI: a comparison between VASO and contrast agent based methods

Tao Jin;Seong-Gi Kim

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

Year: 2006 | Conference Paper |

Cited by: Papers (17)

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In functional magnetic resonance imaging (fMRI), the cerebral blood volume (CBV) based approach with exogenous contrast agent has been found to have better spatial specificity than the widely applied blood oxygenation level-dependent (BOLD) method. Recently, an endogenous CBV-based contrast, vascular space occupancy-dependent (VASO) technique, was developed for human research. However, the spatial...Show More

Spatial dependence of CBV-fMRI: a comparison between VASO and contrast agent based methods

Tao Jin;Seong-Gi Kim

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

Year: 2006 | Conference Paper |

Composition of approximated body-surface-potential-maps by utilizing a common 12-lead-ECG device

H. Koch;A. Richter;R. Kursten;M. Zabel

IEEE Transactions on Biomedical Engineering

Year: 2005 | Volume: 52, Issue: 3 | Journal Article |

Cited by: Papers (7)

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A procedure is introduced that allows approximations of body surface potential maps (BSPM) to be obtained by utilizing commonly available digital 12-lead-electrocardiogram (ECG) systems. These Pseudo-BSPMs contain most of the averaged spatio-temporal information for a single characteristic beat. The underlying signal processing is described in detail. The algorithms including an online method veri...Show More

Composition of approximated body-surface-potential-maps by utilizing a common 12-lead-ECG device

H. Koch;A. Richter;R. Kursten;M. Zabel

IEEE Transactions on Biomedical Engineering

Year: 2005 | Volume: 52, Issue: 3 | Journal Article |

Signal Mapping for Bit-Interleaved Coded Modulation Schemes to Achieve Secure Communications

Weichen Xiang;Stéphane Le Goff;Martin Johnston;Kanapathippillai Cumanan

IEEE Wireless Communications Letters

Year: 2015 | Volume: 4, Issue: 3 | Journal Article |

Cited by: Papers (5)

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In this letter, we investigate different signal mappings for bit-interleaved coded modulation (BICM) and their effect on the secrecy information rate of a wire-tap channel exhibiting Rayleigh fading. By focusing on BICM schemes using 64 QAM, 16 QAM and (1, 5, 10) signal constellations, we show that the optimal mapping depends on the range of signal-to-noise ratios (SNRs) we are interested in. We p...Show More

Signal Mapping for Bit-Interleaved Coded Modulation Schemes to Achieve Secure Communications

Weichen Xiang;Stéphane Le Goff;Martin Johnston;Kanapathippillai Cumanan

IEEE Wireless Communications Letters

Year: 2015 | Volume: 4, Issue: 3 | Journal Article |

Efficient Heuristics for Minimizing Communication Overhead in NoC-based Heterogeneous MPSoC Platforms

Amit Kumar Singh;Wu Jigang;Alok Prakash;Thambipillai Srikanthan

2009 IEEE/IFIP International Symposium on Rapid System Prototyping

Year: 2009 | Conference Paper |

Cited by: Papers (16)

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The number of tasks executing in MPSoC platform can exceed the available resources, requiring efficient run-time mapping strategies to meet the real-time constraints of the applications. This paper describes two new run-time mapping heuristics for mapping applications onto NoC-based heterogeneous multiprocessor systems-on-chip (MPSoC). The heuristics proposed in this paper attempt to map the tasks...Show More

Efficient Heuristics for Minimizing Communication Overhead in NoC-based Heterogeneous MPSoC Platforms

Amit Kumar Singh;Wu Jigang;Alok Prakash;Thambipillai Srikanthan

2009 IEEE/IFIP International Symposium on Rapid System Prototyping

Year: 2009 | Conference Paper |

Blind Source Separation Algorithm Based on Maximum Signal Noise Ratio

Jiancang Ma;Xiaobing Zhang

2008 First International Conference on Intelligent Networks and Intelligent Systems

Year: 2008 | Conference Paper |

Cited by: Papers (7)

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A low computational complexity instantaneous linear mixture signals blind separation algorithm was proposed, which is based on the character that Signal Noise Ratio (SNR) is maximal when statistically independent source signals are completely separated, and it is used as a separation contrast. Source signals are replaced by moving average of estimate signals. The function of covariance matrixes of...Show More

Blind Source Separation Algorithm Based on Maximum Signal Noise Ratio

Jiancang Ma;Xiaobing Zhang

2008 First International Conference on Intelligent Networks and Intelligent Systems

Year: 2008 | Conference Paper |

UAV-Assisted Ground Signal Map Construction based on 3-D Spatial Correlation

Chaoquan Tao;Kun Zhu;Bing Chen;Yanchao Zhao

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

Year: 2020 | Conference Paper |

Cited by: Papers (4)

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Mobile crowdsensing (MCS) has been applied for signal map construction in smart city. However, it is still costly for MCS to cover large-scale regions. Accordingly some data recovery algorithms are proposed, which allow participants to collect only few signal data and infer the rest of missing data by leveraging spatial-temporal correlation of signals. However, existing work only considered the te...Show More

UAV-Assisted Ground Signal Map Construction based on 3-D Spatial Correlation

Chaoquan Tao;Kun Zhu;Bing Chen;Yanchao Zhao

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

Year: 2020 | Conference Paper |

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