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International Conference on Computational Intelligence and Security Workshops (CISW)

作者： Zhao-hong Jia Hua-ping Chen Jun Tang Department of Information Management and Decision Science University of Science and Technology Hefei China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

A novel Pareto-based multi-objective fully-informed particle swarm algorithm (FIPS) is proposed to solve flexible job-shop problems in this paper. Firstly, the population is ranked based on Pareto optimal concept. And the neighborhood topology used in FIPS is based on the Pareto rank. Secondly, the crowding distance of individuals is computed in the same Pareto level for the secondary rank. Thirdly, addressing the problem of trapping into the local optimal, the mutation operators based on the coding mechanism are introduced into our algorithm. Finally, the performance of the proposed algorithm is demonstrated by applying it to several benchmark instances and comparing the experimental results.

关键词： Particle swarm optimization Scheduling algorithm Computational intelligence Topology Genetic mutations Ground penetrating radar Information security Processor scheduling Information management Competitive intelligence

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Good Lattice Points-Based Particle Swarm Optimizer

Good Lattice Points-Based Particle Swarm Optimizer

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International Conference on Natural Computation (ICNC)

作者： Shoubao Su Jiwen Wang Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China Department of Computer Science & Technology West Anhui University Luan China

The mechanism of the classical particle swarm optimization and the comparison criterion of different natural computing methods is investigated by introducing the discrepancy and good lattice points in number theory and proposes a novel optimization method, called good lattice points-based particle swarm optimization algorithm, which intends to produce faster and more accurate convergence because it has a solid theoretical basis and better global search ability, meanwhile the global convergence of the presented algorithm with asymptotic probability one is proved by the property of the optimal lattice. Finally experiment results are very promising to illustrate the outstanding feature of the presented algorithm.

关键词： Lattices Particle swarm optimization signal processing algorithms Convergence Optimization methods Ant colony optimization Algorithm design and analysis signal processing Computer science education Computer science

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Complexity Reduction and Fast Algorithm for 2-D Integer Discrete Wavelet Transform Using Symmetric Mask-Based Scheme

Complexity Reduction and Fast Algorithm for 2-D Integer Disc...

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IEEE International Symposium on Multimedia

作者： Chih-Hsien Hsia Jing-Ming Guo Jen-Shiun Chiang Multimedia IC Design Laboratory Department of Electrical Engineering Tamkang University Taipei Taiwan Multimedia Signal Processing Laboratory Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (纸本)9780769530581;0769530583

Wavelet coding has been shown to be better than discrete cosine transform (DCT) in image/video processing. Moreover, it has the feature of scalability, which is involved in modern video standards. This work presents novel algorithms, namely 2-D symmetric mask-based discrete wavelet transform (SMDWT), to improve the critical issue of the 2-D lifting-based discrete wavelet transform (LDWT), and then obtains the benefit of low latency, high-speed operation, and low temporal memory. The SMDWT also has the advantages of high-performance embedded periodic extension boundary treatment, reduced complexity, regular signal coding, short critical path, reduced latency time, and independent subband coding processing. Moreover, the 2-D lifting-based DWT performance can also be easily improved by exploiting appropriate parallel method inherently in SMDWT. Comparing with the normal 2-D 5/3 integer lifting-based DWT the proposed method significantly improves lifting-based latency and complexity in 2-D DWT without degradation in image quality. The algorithm can be applied to real-time image/video applications, such as JPEG2000, MPEG-4 still texture object decoding, and wavelet-based Scalable Video Coding (SVC).

关键词： Discrete wavelet transforms Delay Discrete cosine transforms Image coding Scalability signal processing Degradation Image quality MPEG 4 Standard Decoding

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Combination of GMM-based speech estimation method and temporal domain SVD-based speech enhancement for noise robust speech recognition

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Systems and Computers in Japan 2007年第3期38卷 23-38页

作者： Fujimoto, Masakiyo Ariki, Yasuo Faculty of Science and Technology Ryukoku University Otsu 520-2194 Japan Faculty of Engineering Kobe University Kobe 657-8501 Japan Signal Processing Research Group Media Information Laboratory NTT Communication Science Laboratories Kyoto 619-0237 Japan

This study proposes a speech recognition method which is made robust to noise by combining speech signal estimation based on GMM and speech enhancement based on SVD in the temporal domain. Conventional speech signal estimation based on GMM has the problems that the time dependence of the noise is not considered and the performance is degraded in a low-SNR environment. As regards the first problem, successive updating of the mean noise vector is performed in this study to follow the time variation of the noise. As regards the second problem, an attempt is made to improve performance by improving the SNR beforehand by means of speech enhancement based on SVD in the time domain. Furthermore, in speech enhancement based on SVD in the time domain, the over-subtraction factor for the noise component is introduced in order to minimize the effect of noise, and adaptive determination of the factor is considered. The proposed method is evaluated using the AURORA2 database, and it is shown that the speech recognition accuracy is improved compared to conventional speech signal estimation based on GMM. © 2007 Wiley Periodicals, Inc.

关键词： Speech enhancement

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A Matrix Pseudo-Inversion Lemma and Its Application to Block-Based Adaptive blind Deconvolution for MIMO Systems

A Matrix Pseudo-Inversion Lemma and Its Application to Block...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Kiyotaka Kohno Yujiro Inouye Mitsuru Kawamoto Shimane University Matsue Shimane Japan Laboratory for Advanced Brain Signal Processing RIKEN Wako Saitama Japan Information Technology Research Institute National Institute of Advanced Industrial Science and Technology Tsukuba Ibaraki Japan

The matrix inversion lemma gives an explicit formula of the inverse of a positive-definite matrix A added to a block of dyads (represented as BBH) as follows: (A + BB H ) -1 = A -1 - A -1 B(I + B H A -1 B) -1 B H A -1 . It is well-known in the literature that this formula is very useful to develop a block-based recursive least-squares algorithm for the block-based recursive identification of linear systems or the design of adaptive filters. We extend this result to the case when the matrix A is singular, and present a matrix pseudo-inversion lemma. Based on this result, we propose a block-based adaptive multi-channel super-exponential algorithm (BAMSEA). We present simulation results for the performance of the block-based algorithm in order to show the usefulness of the matrix pseudo-inversion lemma.

关键词： Deconvolution MIMO signal processing algorithms Adaptive signal processing Algorithm design and analysis Adaptive filters Programmable control Adaptive control Industrial electronics Centralized control

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Multiple Initial Point Prediction based Block Motion Estimation Algorithm

Multiple Initial Point Prediction based Block Motion Estimat...

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2007 IEEE International Symposium on Consumer Electronics (ISCE 2007), vol.2

作者： Humaira Nisar Aamir Saeed Malik Tae-Sun Choi Signal and Image Processing Laboratory Gwangju Institute of Science and Technology Gwangju South Korea

A novel, computationally efficient and robust scheme for multiple initial point prediction has been proposed in this paper. A combination of spatial and temporal predictors has been used for initial motion vector prediction, determination of magnitude and direction of motion and search pattern selection. Initially three predictors from the spatio-temporal neighbouring blocks are selected. If all these predictors point to the same quadrant then a simple search pattern based on the direction and magnitude of the final predicted motion vector is selected. However if the predictors belong to different quadrants then we start the search from multiple initial points to get a clear idea of the location of minimum point. In this case a small rood search pattern has been selected. The predictive search center is closer to the global minimum and thus decreases the effect of monotonic error surface assumption and its impact on the motion field. Its additional advantage is that it moves the search closer to the global minimum hence increases the computation speed. Further computational speed up has been obtained by considering the zero motion threshold for no motion blocks, and, specialized rood search pattern. The image quality measured in terms of PSNR also shows good results.

关键词： Motion Estimation Block Matching Motion Vectors Correlation

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Improved algorithm for reduced spatial resolution video transcoding

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Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information technology 2007年第8期29卷 1900-1902页

作者： Li, Xiao-Hui Key Laboratory of Intelligent Computing and Signal Processing School of Electronic Science and Technology Anhui University Hefei 230039 China

An algorithm of improved reduced spatial resolution video transcoding is proposed in this paper. An adaptive intra-refresh scheme is presented based on the relation between drift error and motion activity of inter-coded blocks. The thresholds are dynamically adjusted according to the difference between the target bit rate and actual bit rate. This method can reduce the bit rate of intra coded frames while still maintaining error robustness and limiting temporal propagation of errors. Besides, a linear rate control strategy is also present. In order to reduce computational complexity, the rate-distortion function can be mapped into a linear function. The simulation results show that the buffer fullness tend to be stabilized and the PSNR of the reconstructed image is raised.

关键词： Video streaming

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Automatic keyword extraction of Chinese document algorithm based on complex network features

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Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 2007年第6期20卷 827-831页

作者： Zhao, Peng Cai, Qing-Sheng Wang, Qing-Yi Geng, Huan-Tong Department of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China

Automatic keyword extraction is one of the most important techniques in natural language processing. In this paper, features of complex networks composed of Chinese are studied. A novel automatic keyword extraction algorithm for Chinese document is proposed which is based on the features of the complex networks according to the small world structure in language networks and the theoretical achievements in complex networks. It extracts keyword based on the feature values of the word nodes in a documental language network. Experimental results show the proposed algorithm obtains higher average precision compared with the keyword extraction algorithm based on TFIDF.

关键词： Complex networks

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Digital Autoradiography Imaging Using CMOS technology: First Tritium Autoradiography with a Back-Thinned CMOS Detector and Comparison of CMOS Imaging Performance with Autoradiography Film

Digital Autoradiography Imaging Using CMOS Technology: First...

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2007 IEEE Nuclear science Symposium Conference, vol.9

作者： J. Cabello K. Wells A. Metaxas A. Bailey I. Kitchen A. Clark M. Prydderch R. Turchetta Centre for Vision Speech and Signal Processing Faculty of Engineering and Physical Sciences University of Surrey Guildford UK Pharmacology Group Faculty of Health and Medical Sciences University of Surrey Guildford UK Technology Department Rutherford Appleton Laboratory Science and Technology Facilities Council Oxfordshire UK

It has been shown that CMOS imaging technology can be applied to Digital Autoradiography (AR) as a potential imaging alternative technology to using conventional film emulsion. In this work a thorough investigation on the performance of CMOS technology used in AR is presented. 3{sup left}H is a particularly important radioisotope used in AR because it can label many sites on biomolecules and provides the highest resolution images due to its low energy and hence low particle range compared to other beta-emitting radioisotopes. In order to detect β-particles from 3{sup left}H beta decay a back-thinned CMOS sensor has been used. Back-thinning is a standard process in CCDs but it is not widely applied to CMOS sensors. In this paper the first results of imaging a calibrated 3{sup left}H microscale and the first tritiated autoradiogram obtained with a back-thinned CMOS sensor at room temperature are presented.

关键词： Digital Autoradiography Tritium Autoradiography CMOS technology Back-thinned technology

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Novel features for brain-computer interfaces

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Computational Intelligence and Neuroscience 2007年第1期2007卷 82827页

作者： Woon, W.L. Cichocki, A. Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Wako Saitama 351-0198 2-1 Hirosawa Japan Malaysia University of Science and Technology Unit GL33 Petaling Jaya Selangor 47301 Kelana Square 17 Jalan SS7/26 Malaysia

While conventional approaches of BCI feature extraction are based on the power spectrum, we have tried using nonlinear features for classifying BCI data. In this paper, we report our test results and findings, which indicate that the proposed method is a potentially useful addition to current feature extraction techniques.

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