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2012 International Conference on Mechanical Engineering and Materials(ICMEM 2012)

作者： Jian Zhou Cheng Huang Man Zhang Liang Tao Li Zhao School of Computer Science and Technology Anhui University Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University

Whispered speech can be effectively used for quiet and private communications over mobile phones and is also the communication means for ENT patients under a regime of voice rest. However,little progress has been made on the denoising of whispered speech in noisy environment because of its special acoustic *** this paper, we propose a whisper denoising algorithm in joint time-frequency domain based on real-valued discrete Gabor transform(RDGT). Noisy whisper is first transformed into the joint time-frequency domain by fast real-valued discrete Gabor transform. The MMSE based log-amplitude estimator is derived under speech presence uncertainty hypothesis. Clean whisper spectral is then estimated by inverse transform of RDGT. Experimental results show that the proposed algorithm is very effective in avoiding the musical residual noise and retaining weak speech components.

关键词： Real-Valued Discrete Gabor Transform(RDGT) joint time-frequency domain whisper denoising

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Contracting community for computing maximum flow

Contracting community for computing maximum flow

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IEEE International Conference on Granular Computing (GRC)

作者： Yanping Zhang Xiansheng Xu Bo Hua Shu Zhao School of Computer Science and Technology Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

In this paper, we propose a novel method named Contracting Community Approach (CCA) to get the maximum flow of flow network. Firstly, we contract communities in the original network. Then, we apply classic algorithms on the contracted network to approximately solve the maximum flow problem. Experimental results show that the efficiency of the proposed algorithm. For sparse networks, the size of network is reduced to 58.38% averagely and the correctness of maximum flow is over 95%. For middle dense networks, the size of network is reduced to 65.77% averagely. For dense networks, the size of network is reduced to 64.84% averagely. And the correctness of maximum flow even reach 100% both in many middle dense and dense cases in our experiments.

关键词： Educational institutions Artificial neural networks Video recording

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Segmentation and Recognition Strategy of Handwritten Connected Digits Based on the Oriented Sliding Window

Segmentation and Recognition Strategy of Handwritten Connect...

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International Workshop on Frontiers in Handwriting Recognition

作者： Abdeljalil Gattal Youcef Chibani Université de Tébessa Algeria Speech communication and signal processing laboratory Faculty of Electronics and Data processing University of Science and Technology Houari Boumediene Algiers Algeria

In this paper, we propose a system to recognize handwritten digit strings, which constitutes a difficult task because of overlapping and/or joining of adjacent digits. To resolve this problem, we use a segmentation-recognition of handwritten connected digits based on the oriented sliding window. The proposed approach allows separating adjacent digits according the connection configuration by finding at the same time the interconnection points between adjacent digits and the cutting path. The segmentation-recognition using the global decision module allows the rejection or acceptance of the processed image. Experimental results conducted on the handwritten digit database NIST SD19 show the effective use of the sliding window for segmentation-recognition.

关键词： IP networks Image segmentation Handwriting recognition Databases NIST Skeleton

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Multi-channel EEG compression based on 3D decompositions

Multi-channel EEG compression based on 3D decompositions

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Justin Dauwels Srinivasan K. Ramasubba Reddy M. Andrzej Cichocki Nanyang Technological University Singapore Indian Institute of Technology Madras Chennai India Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Wako Japan RIKEN BSI Laboratory for Advanced Brain Signal Processing Wako-Shi Japan

Various compression algorithms for multi-channel electroencephalograms (EEG) are proposed and compared. The multi-channel EEG is represented as a three-way tensor (or 3D volume) to exploit both spatial and temporal correlations efficiently. A general two-stage coding framework is developed for multi-channel EEG compression. In the first stage, we consider (i) wavelet-based volumetric coding; (ii) energy-based lossless compression of wavelet subbands; (iii) tensor decomposition based coding. In the second stage, the residual is quantized and coded. Through such two-stage approach, one can control the maximum error (worst-case distortion). Numerical results for a standard EEG data set show that tensor-based coding achieves lower worst-case error and comparable average error than the wavelet- and energy-based schemes.

关键词： Electroencephalography Encoding Tensile stress Correlation Image coding Wavelet transforms Compression algorithms

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Solar radiation error correction of sounding humidity sensors

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Advances in Information sciences and Service sciences 2012年第22期4卷 581-588页

作者： Wang, Yue Liu, Qingquan Zhang, Jiahong Li, Min Jiangsu Key Laboratory of Meteorological Observation and Signal Processing Nanjing University of Information Science and Technology Nanjing 210044 China School of Electronic and Information Engineering Nanjing University of Information Science and Technology Nanjing 210044 China

The error induced by solar radiation heating is becoming an important fact in weather forecast and climate change research. Unfortunately, limited research has been focused on the factors such as surface coating reflectivity and solar incident angle. This paper presents a new method of computational fluid dynamics to build a steady-state thermal transfer model of sounding humidity sensors. External complex boundary conditions are then applied. Fluid-solid coupling thermal transfer analysis of sounding humidity sensors is performed. A variety of parameters, including air pressures, surface coating reflectivities, solar incident angles, and altitudes from sea level to 32 km, have been studied in this work. The modeling results reveal that solar radiation temperature errors exhibit numerical relationships with surface coating reflectivity of sensing components as well as solar incident angle. This method may find applications in solar radiation error correction of sounding humidity sensors, and have a potential to improve measuring accuracy of the sensors.

关键词： Error correction

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FAST AND EFFECTIVE MODEL ORDER SELECTION METHOD TO DETERMINE THE NUMBER OF SOURCES IN A LINEAR TRANSFORMATION MODEL

FAST AND EFFECTIVE MODEL ORDER SELECTION METHOD TO DETERMINE...

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European signal processing Conference

作者： Fengyu Cong Asoke K. Nandi Zhaoshui He Andrzej Cichocki Tapani Ristaniemi Department of Mathematical Information Technology University of Jyvaskyla Faculty of Automation Guangdong University of Technology Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute

ISBN: (纸本)9781467310680

This paper formally introduces the method named as RAE (ratio of adjacent eigenvalues) for model order selection, and proposes a new approach combining the recently developed SORTE (Second ORder sTatistic of the Eigenvalues) and RAE in the context for determining the number of sources in a linear transformation model. The underlying rationale for the combination discovered through sufficient simulations is that SORTE overestimated the true order in the model and RAE underestimated the true order when the signal to noise ratio (SNR) was low. Simulations further showed that after the new method, called RAESORTE, was optimized, the true number of sources was almost correctly estimated even when the SNR was -10 dB, which is extremely difficult for any other model order selection methods;moreover, RAE took much less time than SORTE known as computational efficiency. Hence, RAE and RAESORTE appear promising for the real-time and real world signal processing.

关键词： Linear transformation model Model order selection Number of sources Ratio of adjacent eigenvalues signal to noise ratio signal to noise ratios Supernova remnants eigenvalues Fasting

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Clustering based on fuzzy tolerance quotient spaces

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Journal of Computational Information Systems 2012年第24期8卷 10105-10112页

作者： Zhao, Shu Zhang, Ling Liu, Qianqian Zhang, Yanping School of Computer Science and Technology Anhui University Hefei 230039 China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

The quotient space theory based on fuzzy tolerance relation is put forward to solve the problem of clustering in this paper. The similarity matrix does not always satisfy ultrametric inequality, theoretically and practically. We give the method to construct the hierarchical quotient space chain if the similarity matrix is only reflexive and symmetric. We consider not only the subset of data (cluster) but also the structure of the different granular clusters. The main contributions in this paper include four parts. (1) We introduce sufficient and necessary condition that normalized distance d(x;y) is an equicrural distance;(2) The relation between equicrural distance and ultrametric inequality is discussed;(3) We propose a method to get the proximate partition of a covering from a tolerance relation;(4) An example for using fuzzy tolerance quotient spaces to clustering is given. © 2011 by Binary Information Press.

关键词： Information systems

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Generalized geometry-based optimal power control in wireless networks

Generalized geometry-based optimal power control in wireless...

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2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012

作者： Wang, Wei Shin, Kang G. Zhang, Zhaoyang Wang, Wenbo Peng, Tao Department of Information Science and Electronic Engineering Zhejiang Provincial Key Laboratory of Information Network Technology Zhejiang University Hangzhou 310027 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109-2121 United States Wireless Signal Processing and Networking Lab Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781467319058

Geometry-based optimal power control was proposed in [14] to transform the power-control problem to a new geometrical problem on the position relationship between a line and some points. This scheme provides a novel visual perspective and lowers the complexity of optimization. We generalize this scheme to a larger class of power-control optimization problems so as to maximize the network utility with multiple average and peak power constraints in wireless networks. To facilitate the handling of the geometrical model, we define a subset of geometrical models with specified characteristics, called a regular geometrical model, and derive the type of power-control problems eligible for the regular geometrical model. For such a type of problems, two strategies are proposed for the construction of the regular geometrical model. Utilizing geometrical properties, we propose a novel geometry-based optimization scheme for the general power-control problem. Its computational complexity is significantly lower than the conventional algorithms. We also provide a further discussion on irregular geometrical model cases. Finally, we provide two examples of deploying the proposed geometry-based power-control scheme. © 2012 IEEE.

关键词： Geometry

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Does independent component analysis perform well for iris recognition?

Does independent component analysis perform well for iris re...

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作者： Bouraoui, Imane Chitroub, Salim Bouridane, Ahmed Signal and Image Processing Laboratory Electronics and Computer Science Faculty University of Science and Technology of Houari Boumedienne P.O. Box 32 El - Alia Bab - Ezzouar 16111 Algiers Algeria School of Computing Engineering and Information Sciences Northumbria University Newcastle upon Tyne United Kingdom Department of Computer Science King Saud University Riyadh Saudi Arabia

This paper is concerned with an application of ICA for a possible improvement of iris recognition by replying to the question: does ICA perform well for such purpose? To achieve this, the hypotheses and the theoretical concepts of ICA methods used are handled so that coherence with iris authentication application is guaranteed. Our contribution is not in the development of new theoretical concepts of ICA but it is in adapting its basic ideas for our application. Also, it consists of deploying its powerful and its efficiency for iris recognition, and consequently;it's potential to embed it on smart cards for increasing application domains of secure biometric-based individual identification systems. We have developed a comparative study between the implemented ICA algorithms and other recent and popular methods of iris recognition. We have demonstrated our experimental results using some mathematical criteria. Three different subsets of international certified CASIA iris image databases are used for testing the different implemented methods. The conclusion of such comparative study is that the ICA-based approaches are more effective and more practical than other existing methods. © 2012 - IOS Press and the authors. All rights reserved.

关键词： Biometrics

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Weakening interaction suppresses spontaneous symmetry breaking in two-channel asymmetric exclusion processes

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Physical Review E 2012年第4期85卷 041132-041132页

作者： Kai-Xuan Zhu Nian Wang Qing-Yi Hao Qi-Yi Liu Rui Jiang Key Laboratory of Intelligent Computing and Signal Processing of Education Ministry Anhui University Hefei 230039 China School of Engineering Science University of Science and Technology of China Hefei 230026 China School of Mathematics and Computational Science Anqing Teachers College Anqing 246133 China

This paper has studied spontaneous symmetry breaking (SSB) phenomenon in two types of two-channel asymmetric simple exclusion processes (ASEPs). One common feature of the two systems is that interactions for each species of particle happen at only one site, and the system reduces to two independent ASEPs when interaction vanishes. It is shown that with the weakening of interaction, the SSB is suppressed. More interestingly, the SSB disappears before the interaction is eliminated. Our work thus indicates that local interaction has to be strong enough to produce SSB. The mean-field analysis has been carried out, and the results are consistent with the simulation ones.

关键词： BROKEN symmetry (Physics) MEAN field theory STOCHASTIC processes SIMULATION methods & models STATISTICAL mechanics SYSTEMS theory

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