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检索条件"机构=Lab. for System Dynamics and Signal Processing"
23 条 记 录,以下是1-10 订阅
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Online signature verification: Improving performance through pre-classification based on global features
Online signature verification: Improving performance through...
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17th International Conference on Image Analysis and processing, ICIAP 2013
作者: Parodi, Marianela Gómez, Juan Carlos Lab. for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Argentina
In this paper, a pre-classification stage based on global features is incorporated to an online signature verification system for the purposes of improving its performance. The pre-classifier makes use of the discrimi... 详细信息
来源: 评论
Gradient-based motion vector estimation using variable block shape  11
Gradient-based motion vector estimation using variable block...
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11th European signal processing Conference, EUSIPCO 2002
作者: Hino, Masatoshi Hamada, Nozomu Signal Processing Lab. Dep. of System Design Engineering Keio University Japan
Motion vector estimation of image seqence is one of the important process in image coding, robot vision etc. A useful method of motion vector estimation in the gradient-based method which uses the relationship between... 详细信息
来源: 评论
Voice activity detection with array signal processing in the wavelet domain  11
Voice activity detection with array signal processing in the...
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11th European signal processing Conference, EUSIPCO 2002
作者: Hioka, Yusuke Hamada, Nozomu Signal Processing Lab. Department of System Design Engineering Keio Univ. Japan
In many conventional voice activity detection (VAD) methods, speech signal is assumed to be acquired in high quality. However, human-machine interface based on speech is usually employed in indoor environment where va... 详细信息
来源: 评论
Optimal Parameter Estimation Algorithms from Quantized Outputs  9
Optimal Parameter Estimation Algorithms from Quantized Outpu...
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9th International Conference on Control, Decision and Information Technologies, CoDIT 2023
作者: Gómez, Juan Carlos Sad, Gonzalo Daniel Fceia Universidad Nacional de Rosario Cifasis Lab. for Systems Dynamics and Signal Processing Rosario Argentina
Recursive identification algorithms for the parameter estimation of linear systems from multilevel quantized outputs are introduced in this paper. The proposed algorithms are proved to be optimal in the sense that the... 详细信息
来源: 评论
Both direction and time of arrival estimation by using beamforming and MUSIC algorithm for stepped FM array radar
Both direction and time of arrival estimation by using beamf...
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The 2004 47th Midwest Symposium on Circuits and systems - Conference Proceedings
作者: Fujita, Atsushi Fukue, Tosihiko Hamada, Nozomu Signal Processing Lab. Dept. of System Design Engineering Keio University Yokohama-shi 223-8522 Japan
In this research, we propose a method to estimate both direction of arrival (DOA) and time of arrival (TOA) using stepped FM radar system. The method uses beamformer and MUSIC algorithm with respect to time and space.... 详细信息
来源: 评论
Selective parallel interference cancellation for uplink cyclic-prefix CDMA
Selective parallel interference cancellation for uplink cycl...
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2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2005
作者: Kan, Zheng Wenbo, Wang Decarreau, Guillaume Wireless Signal Processing Lab. Beijing University of Posts and Telecomms Beijing China Wireless System Lab. France Telecom R and D Center Beijing China
Code division multiplex access with cyclic prefix (CP-CDMA) is regarded as one of the best candidates for the broadband wireless communication systems in the uplink. This paper proposes a selective parallel interferen... 详细信息
来源: 评论
Multi-modal speech recognition using correlativity between modality
Multi-modal speech recognition using correlativity between m...
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18th International Symposium on Intelligent signal processing and Communication systems, ISPACS 2010
作者: Sato, Yuki Hamada, Nozomu Signal Processing Lab. Department of System Design Engineering Keio University 3-14-1 Hiyoshi Yokohama 223-8522 Japan
In recent years, to achieve robust speech recognition against noises, Audio-Visual Speech Recognition (AVSR) system utilizing not only audio but also visual information of lip has been studied. This paper proposes a d... 详细信息
来源: 评论
A feature map approach to pose estimation based on quaternions  7th
A feature map approach to pose estimation based on quaternio...
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7th International Conference on Artificial Neural Networks, ICANN 1997
作者: Winkler, S. Wunsch, P. Hirzinger, G. German Aerospace Research Establishment DLR Institute of Robotics and System Dynamics Wessling82230 Germany Signal Processing Lab of the Swiss Federal Institute of Technology in Lausanne Switzerland
This paper proposes a novel solution to the problem of pose estimation of three-dimensional objects using feature maps. Our approach relies on quaternions as the mathematical representation of object orientation. We i... 详细信息
来源: 评论
Feature combination based on Belief Function Theory for online signature verification
Feature combination based on Belief Function Theory for onli...
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Conferencia Latinoamericana En Informatica (CLEI)
作者: Marianela Parodi Juan C. Gómez Lab. for System Dynamics & Signal Processing Universidad Nacional de Rosario & CIFASIS Rosario Argentina
One of the most challenging problems in online signature verification is to select the best features to model the signatures. A widely used technique to address this problem is to combine different feature sets select... 详细信息
来源: 评论
EEG signal analysis based on time-variant coupled network Lattice model
EEG signal analysis based on time-variant coupled network La...
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ICBPE 2006 - 2006 International Conference on Biomedical and Pharmaceutical Engineering
作者: Minfen, Shen Guoliang, Chang Shuwang, Wang Beadle, Patch J. Key Lab. of Digital Signal and Image Processing of Guangdong Province Shantou University Shantou China School of System Engineering Portsmouth University Portsmouth United Kingdom
Brain electrical activity is widely accepted as the typical non-stationary signal. In addition, there exist more evidences that both EEG and ERP signals are chaotic signal produced by the nonlinear dynamics system. To... 详细信息
来源: 评论