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IEEE Global Conference on signal and Information processing

作者： Shoubiao Tan Feng Zheng Ling Shao Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei 230039 China Department of Electronic and Electrical Engineering The University of Sheffield Mappin Street Sheffield S1 3JD UK Department of Computer Science and Digital Technologies Northumbria University Newcastle upon Tyne NE1 8ST UK

ISBN: (纸本)9781479975921

Recently, support vector ranking has been adopted to address the challenging person re-identification problem. However, the ranking model based on ordinary global features cannot represent the significant variation of pose and viewpoint across camera views. Thus, a novel ranking method which fuses the dense invariant features is proposed in this paper to model the variation of images across camera views. By maximizing the margin and minimizing the error score for the fused features, an optimal space for ranking has been learned. Due to the invariance of the dense invariant features and the fusion of the bidirectional features, the proposed method significantly outperforms the original support vector ranking algorithm and is competitive with state-of-the-art techniques on two challenging datasets, showing its potential for real-world person re-identification.

关键词： Person Re-identification Dense Invariant Feature Support Vector Ranking Feature Fusion

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PHYSIOLOGICALLY-MOTIVATED FEATURE EXTRACTION FOR SPEAKER IDENTIFICATION

PHYSIOLOGICALLY-MOTIVATED FEATURE EXTRACTION FOR SPEAKER IDE...

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IEEE International Conference on Acoustics, Speech and signal processing

作者： Jianglin Wang Michael T. Johnson Speech and Signal Processing Laboratory Department of Electrical and Computer Engineering Marquette University Milwaukee USA

ISBN: (纸本)9781479928941

This paper introduces the use of three physiologically-motivated features for speaker identification, Residual Phase Cepstrum Coefficients (RPCC), Glottal Flow Cepstrum Coefficients (GLFCC) and Teager Phase Cepstrum Coefficients (TPCC). These features capture speaker-discriminative characteristics from different aspects of glottal source excitation patterns. The proposed physiologically-driven features give better results with lower model complexities, and also provide complementary information that can improve overall system performance even for larger amounts of data. Results on speaker identification using the YOHO corpus demonstrate that these physiologically-driven features are both more accurate than and complementary to traditional mel-frequency cepstral coefficients (MFCC). In particular, the incorporation of the proposed glottal source features offers significant overall improvement to the robustness and accuracy of speaker identification tasks.

关键词： speaker recognition Cepstrum Loudspeakers Feature extraction Mel frequency cepstral coefficient Complementary System performance trisphenylcarbamoylcellulose

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Optimizing Dynamical Similarity Index Extraction Window for Seizure Detection

Optimizing Dynamical Similarity Index Extraction Window for ...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Leila Azinfar Ahmed Rabbi Mohammdreza Ravanfar Sima Noghanian Reza Fazel-Rezai Biomedical Signal and Image Processing Laboratory Hawaii Center for Advanced Communications University of Hawaii Department of Electrical Engineering University of North Dakota Biomedical Signal and Image Processing Laboratory Electrical Engineering Department University of North Dakota

ISBN: (纸本)9781424479276

This paper addresses an optimization problem in choosing optimum window length for feature extraction in automatic seizure detection. The processing window length plays an important role in reducing the false positive and false negative rates and decreasing required processing time for seizure detection. This study presents an approach for selecting the optimum window length toward the extraction of dynamical similarity index (DSI) feature. Then, the optimal window value in DSI extraction was used to detect seizure onset automatically. The algorithm was applied to electroencephalogram (EEG) signals from European Epilepsy Database. Although the main purpose of this study was not the seizure detection and mainly focuses on proposing an approach for finding an optimum window length for feature extraction towards the early seizure detection, the results showed that the proposed method achieves 83.99% of sensitivity in seizure detection. The low false positive rate per hour (FPR/h) was also significant due to continuous EEG analysis. The method showed fast computation speed which promises a potential for the real time applications. The proposed method for the window optimization in feature extraction of DSI can be implemented for other features to further improve the performance of seizure detection.

关键词： Feature extraction Electroencephalography Indexes Optimization Epilepsy Sensitivity

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Recursive Automatic Target Generation Process for Unsupervised Hyperspectral Target Detection

Recursive Automatic Target Generation Process for Unsupervis...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Cheng Gao Chein-I Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland

ISBN: (纸本)9781479953141

Automatic target generation process (ATGP) has been found very useful and effective for unsupervised target detection. It performs a sequence of orthogonal subspace projection to extract potential targets of interest. One major issue arises in ATGP is how to terminate the algorithm in the sense that how many targets are required for ATGP to generate before it is terminated. This paper presents a recursive version of ATGP, referred to as recursive ATGP (RATGP) which has two advantages. One is no need of inverting any matrix as ATGP does for finding each target. Most importantly, a stopping rule can be derived for ATGP via RATGP is also developed using the Neyman-Pearosn detection theory to determine how many targets needed to be generated by RATGP before it is terminated.

关键词： Automatic target generation process (ATGP) Recursive ATGP (RATGP)

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Expectation propagation approach to joint channel estimation and decoding for OFDM systems

Expectation propagation approach to joint channel estimation...

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2014 IEEE International Conference on Acoustics, Speech, and signal processing, ICASSP 2014

作者： Wu, Sheng Kuang, Linling Ni, Zuyao Lu, Jianhua Huang, Defeng David Guo, Qinghua Department of Electronic Engineering Tsinghua University China Tsinghua Space Center Tsinghua University China Research Institute of Information Technology Tsinghua University China Shenzhen Key Laboratory of Wireless Broadband Communication and Signal Processing China School of Electrical Electronic and Computer Engineering University of Western Australia Australia School of Electrical Computer and Telecommunications Engineering University of Wollongong Australia

ISBN: (纸本)9781479928927

We propose a message-passing algorithm of joint channel estimation and decoding for OFDM systems, where expectation propagation is exploited to deal with channel estimation. Specially, the message updating is formulated into a recursive form. As a result, for system with K subcarriers and L channel taps, only O(K + L) messages need to be tracked, and meanwhile they can be efficiently calculated using FFT with complexity O(K-A- + K log2 K), where -A- denotes the constellation size. Numerical experiments show that our algorithm achieves BER performance within 0.5 dB of the known-channel bound. © 2014 IEEE.

关键词： Orthogonal frequency division multiplexing

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Transmitter-side antennas correlation in SVD-assisted MIMO systems

Communications in Computer and Information Science

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communications in computer and Information Science 2014年 456卷 402-417页

作者： Ahrens, Andreas Cano-Broncano, Francisco Benavente-Peces, ĆEsar Department of Electrical Engineering and Computer Science Communications Signal Processing Group Hochschule Wismar University of Technology Business and Design Philipp-M¨uller-Strase 14 Wismar23966 Germany E.T.S. de Ingeniería y Sistemas de Telecomunicación Universidad Politécnica de Madrid Ctra. Valencia. km. 7 Madrid28031 Spain

ISBN: (纸本)9783662447871

MIMO techniques allow increasing wireless channel performance by decreasing the BER and increasing the channel throughput and in consequence are included in current mobile communication standards. MIMO techniques are based on benefiting the existence of multipath in wireless communications and the application of appropriate signal processing techniques. The singular value decomposition (SVD) is a popular signal processing technique which, based on the perfect channel state information (PCSI) knowledge at both the transmitter and receiver sides, removes inter-antenna interferences and improves channel performance. Nevertheless, the proximity of the multiple antennas at each front-end produces the so called antennas correlation effect due to the similarity of the various physical paths. In consequence, antennas correlation drops the MIMO channel performance. This investigation focuses on the analysis of a MIMO channel under transmitter-side antennas correlation conditions. First, antennas correlation is analyzed and characterized by the correlation coefficients. The analysis describes the relation between antennas correlation and the appearance of predominant layers which significantly affect the channel performance. Then, based on the SVD, pre- and post-processing is applied to remove inter-antenna interferences. Finally, bit- and power allocation strategies are applied to reach the best performance. The resulting BER reveals that antennas correlation effect diminishes the channel performance and that not necessarily all MIMO layers must be activated to obtain the best performance. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Singular value decomposition

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Expectation propagation based iterative group wise detection for large-scale multiuser MIMO-OFDM systems

Expectation propagation based iterative group wise detection...

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2014 IEEE Wireless communications and Networking Conference, WCNC 2014

作者： Wu, Sheng Kuang, Linling Ni, Zuyao Lu, Jianhua Huang, Defeng David Guo, Qinghua Department of Electronic Engineering Tsinghua University Beijing China Tsinghua Space Center Tsinghua University Beijing China Research Institute of Information Technology Tsinghua University Beijing China Shenzhen Key Laboratory of Wireless Broadband Communication and Signal Processing Shenzhen China School of Electrical Electronic and Computer Engineering University of Western Australia Australia School of Electrical Computer and Telecommunications Engineering University of Wollongong Australia

ISBN: (纸本)9781479930838

For the spatially correlated multiuser MIMO-OFDM channels, the conventional iterative MMSE-SIC detection suffers from a considerable performance loss. In this paper, we use the factor graph framework to design robust detection algorithms by clustering a group of symbols to combat the spatial correlation and using the principle of expectation propagation to improve message passing. Furthermore, as the complexity of detection becomes one of the issues in the design of large-scale multiuser MIMO-OFDM systems, we propose a low-complexity approximate message-passing algorithm by opening the channel transition node, which eliminates the expensive matrix inversions involved in the MMSE-SIC based algorithms. Finally, numerical results are presented to verify the proposed algorithms. © 2014 IEEE.

关键词： Message passing

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On the performance of hybrid satellite-terrestrial cooperative networks with interferences 48

On the performance of hybrid satellite-terrestrial cooperati...

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48th Asilomar Conference on signals, Systems and computers, ACSSC 2015

作者： Lin, Min Ouyang, Jian Zhu, Wei-Ping PLA University of Science and Technology Nanjing210007 China National Mobile Communications Research Laboratory Southeast University Nanjing210096 China Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Nanjing210003 China Department of Electrical and Computer Engineering Concordia University MontrealQCH3G1M8 Canada

ISBN: (纸本)9781479982974

The paper investigates the performance of a hybrid satellite-terrestrial cooperative network (HSTCN), where some terrestrial amplify-and-forward (AF) relays are employed to assist the signal transmission from a satellite to a destination, which is corrupted by multiple co-channel interferences (CCIs). In this system, the satellite links undergo Shadowing-Rician fading while the terrestrial links experience Rayleigh fading. Specifically, by assuming that maximum ratio combining (MRC) is used at the destination, we first derive the moment generating function (MGF) of the output signal-to-interference-plus-noise ratio (SINR). With the help of MGF, we then present the analytical average symbol error rate (ASER) expression for the considered cooperative system. Moreover, to gain further insights, the asymptotic ASER analysis in terms of the diversity order and array gain is also developed. Finally, numerical results are given to demonstrate the validity of the performance analysis and the impacts of shadowing parameters, relay number and CCIs on the considered HSTCN. © 2014 IEEE.

关键词： Rayleigh fading

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Cognitive Blind Interference Alignment for Macro-Femto Cellular Networks

Cognitive Blind Interference Alignment for Macro-Femto Cellu...

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IEEE Global communications Conference

作者： Maximo Morales Cespedes Jorge Plata-Chaves Dimitris Toumpakaris Ana Garcia Armada Department of Signal Theory and Communications. University Carlos III of Madrid Stadius Center for Dynamical Systems Signal Processing and Data Analytics Department of Electrical & Computer Engineering. University of Patras

ISBN: (纸本)9781479935130

A cognitive Blind Interference Alignment scheme is devised for use in macro-femto cellular networks. The proposed scheme does not require any channel state information at the transmitter or data sharing among the Macro Base Station and the Femto Access Points. It achieves transmission to femto cell users without affecting the rates of the Macro users. This is achieved by appropriately combining the supersymbols of the Macro Base Stations and the Femto Access Points. It is shown that in some scenarios the use of this scheme results to considerable rates for Femto users.

关键词： Interference Femtocells Noise Transmitting antennas Wireless communication Macrocell networks

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On YASS’s Non-monotonic Security Performance

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Circuits, Systems, and signal processing 2014年第11期33卷 3527-3537页

作者： Yu, Lifang Zhao, Yao Ni, Rongrong Shi, Yun Qing Institute of Information Science Beijing Jiaotong University Beijing100044 China Beijing Key Laboratory of Signal and Information Processing for High-end Printing Equipments Beijing Institute of Graphic Communication Beijing102600 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07102 United States

Recently, researchers have discovered unexpected bumps in the detection rate curve of yet another steganographic scheme (YASS). We refer to this abnormal phenomenon as non-monotonic security performance. This paper first analyzes this abnormality and points out that it is caused by the non-uniformity in probability of coincidence of (Formula presented.) embedding blocks and (Formula presented.) JPEG blocks. Based on this observation, we propose that further randomizing data embedding positions can overcome the non-monotonic security performance. Experimental results have demonstrated a complete removal of bumps in the detection rate curve of YASS after further randomization. © 2014, Springer Science+Business Media New York.

关键词： Steganography

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