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2012 International Conference on Advances in Mechanics Engineering, ICAME 2012

作者： Li, Jiaqiang Chen, Xingjuan Chen, Jinli Jiangsu Key Laboratory of Meteorological Observation and Signal Processing Nanjing 210044 China College of Electronic and Information Engineering Nanjing University of Information Science and Technology 210044 China

ISBN: (纸本)9783037855287

As a new type of Doppler wind radar, Wind profiler radar often suffers from a variety of meteorological factors. These interferences have great effect on the detection data precision, which leads to radar data quality problem. A data processing method based on Extended Kalman Filter (EKF) is presented in this paper, which focuses on the nonlinear problems of wind data of wind profiler radar. This method is the development of traditional Kalman Filter (KF) in practical engineering applications. To verify the validity of this first-order EKF from different situation, one day's and one moment's wind data are selected respectively, as examples for filtering. EKF is better for data processing of wind profiler radar and has some engineering application prospects. © (2012) Trans Tech Publications, Switzerland.

关键词： Quality control

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Direction finding error analysis of over-water troposcatter propagation signals

Direction finding error analysis of over-water troposcatter ...

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Congress on Image and signal processing, CISP

作者： Shangpeng Li Hui Zheng Science and Technology on Blind Signal Processing Laboratory Chengdu China

ISBN: (纸本)9781467309653

Troposcatter propagation is one of major way that ultrashort wave and microwave propagate over horizon. It often forms irregular or stable air layer above sea, so wave propagate by means of incoherent reflecting of the irregular layer or coherent reflecting of the stable layer. The accuracy direction finding of over-water troposcatter propagation signals make sense of situation awareness of targets beyond the horizon. The troposcatter propagation model is built up. The effect of troposcatter propagation mechanism acts on direction finding error is analyzed. This paper has guiding value for amendment of direction finding error.

关键词： Electric fields Receivers Transmitters Antennas and propagation signal processing Accuracy Reflection

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Multi-domain feature of event-related potential extracted by nonnegative tensor factorization: 5 vs. 14 electrodes EEG data

Multi-domain feature of event-related potential extracted by...

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10th International Conference on Latent Variable Analysis and signal Separation, LVA/ICA 2012

作者： Cong, Fengyu Phan, Anh Huy Astikainen, Piia Zhao, Qibin Hietanen, Jari K. Ristaniemi, Tapani Cichocki, Andrzej Department of Mathematical Information Technology University of Jyväskylä Finland Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Japan Department of Psychology University of Jyväskylä Finland Human Information Processing Laboratory School of Social Science and Humanities University of Tampere Finland

ISBN: (纸本)9783642285509

As nonnegative tensor factorization (NTF) is particularly useful for the problem of underdetermined linear transform model, we performed NTF on the EEG data recorded from 14 electrodes to extract the multi-domain feature of N170 which is a visual event-related potential (ERP), as well as 5 typical electrodes in occipital-temporal sites for N170 and in frontal-central sites for vertex positive potential (VPP) which is the counterpart of N170, respectively. We found that the multi-domain feature of N170 from 5 electrodes was very similar to that from 14 electrodes and more discriminative for different groups of participants than that of VPP from 5 electrodes. Hence, we conclude that when the data of typical electrodes for an ERP are decomposed by NTF, the estimated multi-domain feature of this ERP keeps identical to its counterpart extracted from the data of all electrodes used in one ERP experiment. © 2012 Springer-Verlag.

关键词： Electrodes

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Feature extraction by nonnegative tucker decomposition from eeg data including testing and training observations

Feature extraction by nonnegative tucker decomposition from ...

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19th International Conference on Neural Information processing, ICONIP 2012

作者： Cong, Fengyu Phan, Anh Huy Zhao, Qibin Wu, Qiang Ristaniemi, Tapani Cichocki, Andrzej Department of Mathematical Information Technology University of Jyväskylä Finland Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Japan School of Information Science and Engineering Shandong University Shandong China

ISBN: (纸本)9783642344862

The under-sample classification problem is discussed for 21 normal childrenand 21 children with reading disability. We first rejected data of one subject in each group and produced 441 sub-datasets including 40 subjects in each. Regarding each sub-dataset, we extracted features through nonnegative Tucker decomposition (NTD) from event-related potentials, and used the leave-one-out paradigm for classification. Averaged accuracies over 441 sub-datasets were 77.98% (linear discriminate analysis), 73.55% (support vector machine), and 76.97% (adaptive boosting). In summary, assuming K observations with known labels, for the new observation without the group information, the feature of the new observation can be extracted through performing NTD to extract features from data of all observations (K+1). Since the group information of the first K observations is known, their features can train the classifier, and then, the trained classifier recognizes new features to determine the group information of new observation. © 2012 Springer-Verlag.

关键词： Classification (of information)

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Persona analysis with text topic modelling

Persona analysis with text topic modelling

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International Conference on Automatic Control and Artificial Intelligence, ACAI 2012

作者： Yang, Dong-Mei Zheng, Hui Yan, Ji-Kun Jin, Ye Science and Technology on Blind Signal Processing Laboratory Mail Box No.666 Chengdu 610041 China Southwest Electronics and Telecommunication Technology Research Institute Mail Box No.666 Chengdu 610041 China

ISBN: (纸本)9781849195379

We present a new way called Persona Analysis with Text Topic Modelling (PATTM), which tries to learn the role of personae according to the literal descriptions. It is similar to Latent Dirichlet Allocation (LDA) and Author Topic (AT) model, with the attribute of allowing all text to join in the topic modelling process, even when there is no persona in the text. We experiment on the Libya Event data set which contains more than 4,000 texts collected from the Internet. The PATTM gives lower perplexity than LDA and AT model on the data set.

关键词： Statistics

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Semi-supervised LDA by labelling words

Semi-supervised LDA by labelling words

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International Conference on Automatic Control and Artificial Intelligence, ACAI 2012

ISBN: (纸本)9781849195379

We propose a new semi-supervised learning technique, which is called Words labelled Semi-Supervised Latent Dirichlet Allocation (wssLDA) by labelling words for large text collections analysis. The model incorporates supervision with Latent Dirichlet Allocation by adjusting weights of topic words chosen by users. Results with perplexity for documents and F-measure for clustering show the improvements for the topic learning and document analysis tasks.

关键词： Statistics

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Adaptive selection of search space in look ahead orthogonal matching pursuit

Adaptive selection of search space in look ahead orthogonal ...

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18th National Conference on Communications, NCC 2012

作者： Ambat, Sooraj K. Chatterjee, Saikat Hari, K.V.S. Statistical Signal Processing Laboratory Department of Electrical Communication Engineering Indian Institute of Science Bangalore - 560 012 India Communication Theory Laboratory School of Electrical Engineering KTH - Royal Institute of Technology Stockholm - 10044 Sweden

ISBN: (纸本)9781467308168

Compressive Sensing theory combines the signal sampling and compression for sparse signals resulting in reduction in sampling rate and computational complexity of the measurement system. In recent years, many recovery algorithms were proposed to reconstruct the signal efficiently. Look Ahead OMP (LAOMP) is a recently proposed method which uses a look ahead strategy and performs significantly better than other greedy methods. In this paper, we propose a modification to the LAOMP algorithm to choose the look ahead parameter L adaptively, thus reducing the complexity of the algorithm, without compromising on the performance. The performance of the algorithm is evaluated through Monte Carlo simulations. © 2012 IEEE.

关键词： Compressed sensing

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Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI

Regularized CSP with Fisher's criterion to improve classific...

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2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

作者： Zhang, Yu Zhao, Qibin Zhou, Guoxu Wang, Xingyu Cichocki, Andrzej Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Wako-shi Saitama 351-0198 Japan

ISBN: (纸本)9781467300223

A brain-computer interface (BCI) based on the combination of oddball paradigm and face perception has been introduced. Such BCI mainly exploits three event-related potential (ERP) components, namely vertex positive potential (VPP), N170 and P300 instead of only P300. With different temporal and spatial distributions of the three ERP components, a regularized common spatial pattern (CSP) with Fisher's criterion (FC), named FCCSP, is proposed to extract the most discriminative features for single trial classification of ERP components. With linear discriminant analysis (LDA) classifier, the proposed FCCSP spatial filtering method yields an average classification accuracy of 95.4% on seven healthy subjects for single-trial ERP components, which outperforms no spatial filtering, the CSP and the FC. © 2012 IEEE.

关键词： Brain computer interface

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A new method for radar maneuvering target detection based on matched filtering in two-dimensional frequency domain

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2012年第12期40卷 2415-2420页

作者： Wu, Sun-Yong Liao, Gui-Sheng Zhu, Sheng-Qi Yang, Zhi-Wei Department of Computational Science and Mathematics Guilin University of Electronic Technology Guilin Guangxi 541004 China National Lab. of Radar Signal Processing Xidian University Xi'an Shaanxi 710071 China

Increasing integration time can improve the detection performance of weak targets. However, the signal energy could not be effectively accumulated, because the high-speed motion of a target induces range migration and Doppler walk in long-time coherent integration period. Thus the motion compensation is necessary. Unfortunately, the traditional methods based on keystone transform are only suitable for uniform motion targets, while the range curvature of maneuvering targets can not be corrected by keystone transform. In this paper, for moving target with constant acceleration and Doppler ambiguity, a new method is proposed by constructing the two-dimensional compression function in range-Doppler frequency domain, which can eliminate the coupling effect between range and azimuth. This method does not require target velocity parameters and can correct the range migration caused by radial velocity and radial acceleration. The proposed algorithm can be efficiently implemented by using fast Fourier transform without interpolation and thus has low computational complexity. Simulation results show that the proposed algorithm improves the performance for detecting high-speed maneuvering targets.

关键词： Fast Fourier transforms

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Design of Linear Phase Nonuniform Filter Banks with Interpolated Prototype Filters

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Procedia Engineering 2012年 29卷 435-440页

作者： Ming Wang Jian Wan Yan Zhao Science and Technology On Blind Signal Processing Laboratory No.118 Yihuanluxiyiduan Road Wuhou District Chengdu610041 China

Most of nonuniform filter banks designed by existing methods are not linear phase. In order to solving the problem, a novel method for designing linear-phase nonuniform filter banks is proposed in this paper. By analyzing the filter banks structure with block decimation transformed to rational decimation, we get an interpolated filter banks structure which removes the mirror frequency brought from interpolation. The filter banks are obtained by cosine modulation in this paper, and the prototype filters are interpolated and filtered before modulation. To make sure the significant aliasing distortions are cancelled completely, all prototype filters are designed with consistent transition band performance, using the optimization algorithm. Simulation results demonstrate that the linear-phase nonuniform filter banks designed by the proposed method have small amplitude distortions and aliasing distortions.

关键词： Linear-Phase Nonuniform Filter Banks aliasing distortion cosine modulation interpolated

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