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2010 5th International Symposium on Telecommunications, IST 2010 2010年 695-700页

作者： Banitalebi, Amin Nader-Esfahani, Said Wireless Multimedia Signal Processing Lab. School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran

ISBN: (纸本)9781424481835

In the popular video coding trend, the encoder has the task to exploit both spatial and temporal redundancies present in the video sequence, which is a complex procedure;As a result almost all video encoders have five to ten times more complexity than their decoders. In a video compression process, one of the main tasks at the encoder side is motion estimation which is to extract the temporal correlation between frames. Distributed video coding (DVC) proposed the idea that can lead to low complexity encoders and higher complexity decoders. DVC is a new paradigm in video compression based on the information theoretic ideas of Slepian-Wolf and Wyner-Ziv theorems. Wyner-Ziv coding is naturally robust against transmission errors and can be used for joint source and channel coding. Side Information is one of the key components of the Wyner-Ziv decoder. Better side information generation will result in better functionality of Wyner-Ziv coder. In this paper we proposed a new method that can generate side information with a better quality and thus better compression. We've used HVS (human visual system) based image quality metrics as our quality criterion. The motion estimation we've used in the decoder is modified due to these metrics such that we could obtain finer side information. The motion compensation is optimized for perceptual quality metrics and leads to better side information generation compared to conventional MSE (mean squared error) or SAD (sum of absolute difference) based motion compensation currently used in the literature. Better motion compensation means better compression. © 2010 IEEE.

关键词： Motion estimation

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Composite enhancing and denoising algorithm for SAR images based on scale space correlation

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Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University 2010年第2期37卷 224-230页

作者： Yin, Kui-Ying Hu, Li-Ping Liu, Hong-Wei Jin, Lin Key Lab. of Radar Signal Processing Xidian Univ. Xi'an 710071 China Nanjing Research Institute of Electronics Technology Nanjing 210013 China

A composite adaptive enhancing and denoising algorithm for SAR images is presented. The SAR images are differentiated from speckle noise via scale space correlation. Because the SAR image can be described by approximate rayleigh's distribution, the complex diffusion coupled shock filter is used to enhance the signal differentiated from SAR image, and the anisotropic diffusion equation is used to denoise the speckle in the SAR image. Finally, the SAR image is reconstructed by stationary wavelet transform. Compared with traditional speckle removal algorithms, this new algorithm has better performance in terms of edge preserving and denoising.

关键词： Synthetic aperture radar

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A mining technique using n-grams and motion transcripts for body sensor network data repository 10

A mining technique using n-grams and motion transcripts for ...

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Wireless Health 2010

作者： Loseu, Vitali Ghasemzadeh, Hassan Khan, Latifur R. Jafari, Roozbeh Embedded Systems and Signal Processing Lab. Department of Electrical Engineering University of Texas at Dallas Richardson TX 75080-3021 United States Department of Computer Science University of Texas at Dallas Richardson TX 75080-3021 United States

ISBN: (纸本)9781605589893

Recent years have seen a large influx of applications in the field of Body Sensor Networks (BSN). BSN, and in general wearable computers with sensors, can give researchers, users or clinicians access to tremendously valuable information extracted from data that were collected in users' natural environment. With this information, one can monitor the progression of a disease, identify its early onset or simply assess user's wellness. One major obstacle is managing repositories that store large amounts of BSN data. To address this issue, we propose a data mining approach for large BSN data repositories. We represent sensor readings with motion transcripts that maintain structural properties of the signal. To further take advantage of the signal's structure, we define a data mining technique using n-grams. We reduce overwhelmingly large number of n-grams via information gain (IG) feature selection. We report the effectiveness of our approach in terms of the speed of mining while maintaining an acceptable accuracy in terms of precision and recall. We demonstrate that the system can achieve average 99% precision with an average 100% recall on our pilot data with the help of only one transition for each movement. © 2010 ACM.

关键词： Data mining

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Study about the feature of some parts of the Traditional Chinese Medicine(TCM) physical examination correlate with the indexes of the renal function

Study about the feature of some parts of the Traditional Chi...

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2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010

作者： Hu, Guangqin Zhou, Bing Luo, Yufu Lu, Yangdong Zhu, Min Lu, Xiaozuo Liu, Xiaomin University Hospital Beijing University of Technology Beijing China Tianjin Yongjiu Hospital Tianjin China Institute of Chinese Medicine Tianjin University of Traditional Chinese Medicine Tianjin China Signal and Information Processing Lab. Beijing University of Technology Beijing China

ISBN: (纸本)9781424483044

Objective: Study the correlation between some parts of Traditional Chinese Medicine (TCM)'s physical examination elements and the parameters of the renal function. Method: Select 935 samples of TCM four diagnostic and syndrome differentiation information from young healthy examinees, study the correlation between these information. Results: there is extremely significant positive correlation coefficient (P

关键词： Creatinine

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Application of AWE to scattering analysis of the double-negative medium

Application of AWE to scattering analysis of the double-nega...

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2010 9th International Symposium on Antennas Propagation and EM Theory, ISAPE 2010

作者： Sun, Yu-Xin Chen, Ming-Sheng Wu, Xian-Liang Yang, Mei Wang, Hui Key Lab. of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei China Department of Physics and Electronic Engineering Hefei Normal University Hefei China School of Information Science and Technology University of Science and Technology of China Hefei 230026 China

ISBN: (纸本)9781424469062

The PMCHWT equation of the double negative media (DNG) is obtained based on its constitutive relationship. And the surface currents and radar cross section (RCS) at a single frequency point is computed by Method of moments (MOM). The asymptotic waveform evaluation (AWE) technique for dispersive dielectric medium is deduced and apllied to electromagnetic scattering analysis of double-negative medium within a given frequency band. ©2010 IEEE.

关键词： Method of moments

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Adaptive resampling in particle filter based on diversity measures

Adaptive resampling in particle filter based on diversity me...

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International Conference on computer Science and Education

作者： Yu, Jin-Xia Liu, Wen-Jing Tang, Yong-Li College of Computer Science and Technology Henan Polytechnic University Jiaozuo 454003 China Jiangsu Provincial Key Lab. of Image Processing and Image Communication Nanjing University of Posts and Communication Nanjing 210003 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China

ISBN: (纸本)9781424460052

It is very important to find a criterion when to perform a resampling step. Aimed at this problem, an adaptive resampling algorithm in particle filter based on diversity measures is presented. Based on the analysis and comparison of two diversity measures that are effective sample size (ESS) and population diversity factor(PDF), the resampling algorithm based on ESS is introduced. On the basis of that, PDF is used for adaptively tuning the resampling threshold. At last, with the simulation program using matlab.7.0 to track a single target motion from a fixed visual observation points, the performance of the proposed algorithm is evaluated and its validity is verified. ©2010 IEEE.

关键词： MATlab

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Compressive sensing for wide-angle analysis

Compressive sensing for wide-angle analysis

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2010 9th International Symposium on Antennas Propagation and EM Theory, ISAPE 2010

作者： Du, Hong-Mei Chen, Ming-Sheng Wu, Xian-Liang Lu, Si-Long Mei, Yi-Cai Key Lab. of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei 230029 China Department of Physics and Electronic Engineering Hefei Normal University Hefei 230601 China School of Information Science and Technology University of Science and Technology of China Hefei 230026 China

ISBN: (纸本)9781424469062

A new incident source with different angles was constructed for dealing with wide-angle scattering problems. Considering the impendence matrix in method of moments (MOM) is independent from incident angles, the equivalent relationship between induced current and the measured CS-current was build, while the CS-current can be computed directly under the new incident source. Finally, we can reconstruct the induce current by utilizing the theory of compressive sensing (CS). Compared with traditional MOM, the computational complexity can be greatly reduced. ©2010 IEEE.

关键词： Method of moments

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Improved track-before-detect algorithm based on particle filter

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Kongzhi yu Juece/Control and Decision 2010年第12期25卷 1843-1847页

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

An improved track-before-detect(TBD) algorithm based on the particle filter is proposed for weak target detection and tracking in low signal to noise radio(SNR) environment. Under the theory framework of particle filter, an algorithm which combines the particle filter with unscented Kalman filter(UKF) algorithm is presented. When the important probability density distribution is calculated by using the algorithm, the sampling particles are most likely to be in the region of high likelihood based on the current measurement, which makes the particles distribution more approach to the posterior distribution of the state. Simulation results show that the proposed algorithm has an improved performance of detection and tracking compared with the standard particle filter.

关键词： signal to noise ratio

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Robust channel identification using FOCUSS method

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7th International Symposium on Neural Networks, ISNN 2010

作者： He, Zhaoshui Cichocki, Andrzej Lab. for Advanced Brain Signal Processing Brain Science Institute Wako-shi Saitama 351-0198 Japan School of Electronics and Information Engineering South China University of Technology Guangzhou 510641 China Warsaw 00-901 Poland Warsaw University of Technology Warsaw 00-661 Poland

ISBN: (纸本)9783642129896

Blind channel identification can be cast into a single-input-multi-output (SIMO) identification problem by oversampling and then solved easily by SIMO identification methods. Due to this, SIMO identification is of great interest and attracts a lot of attention in the past twenty years. Many efficient methods have been developed for this problem. However, most of them are sensitive to overestimation of channel order. Based on sparse representation, an efficient SIMO identification method is proposed in this paper. Differing from the Prediction Error Method, the new algorithm does not require the input signal to be independent and identical distribution, and even the input signal can be non-stationary. In addition, the new algorithm is more robust to the overestimation of channel order. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Blind equalization

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3-D video coding using depth transition data

3-D video coding using depth transition data

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28th Picture Coding Symposium, PCS 2010

作者： Kim, Woo-Shik Ortega, Antonio Lee, Jaejoon Wey, Ho Cheon Signal and Image Processing Institute Ming Hsieh Dept. of Electrical Engineering University of Southern California Los Angeles CA 90089 United States Multimedia Lab. Samsung Advanced Institute of Technology Samsung Electronics Co. Ltd. Korea Republic of

ISBN: (纸本)9781424471348

The objective of this work is to develop a new 3-D video coding system which can provide better coding efficiency with improved subjective quality as compared to existing 3-D video systems. We have analyzed the distortions that occur in rendered views generated using depth image based rendering (DIBR) and classified them in order to evaluate their impact on subjective quality. As a result, we found that depth map coding distortion leads to "erosion artifacts" at object boundaries, which lead to significant degradation in perceptual quality. To solve this problem, we propose a solution in which depth transition data is encoded and transmitted to the decoder. Depth transition data for a given pixel indicates the camera position for which this pixel's depth will change. A main reason to consider transmitting explicitly this information is that it can be used to improve view interpolation at many different intermediate camera positions. Simulation results show that the subjective quality can be significantly improved by reducing the effect of erosion artifacts, using our proposed depth transition data. Maximum PSNR gains of about 0.5 dB can also be observed. © 2010 IEEE.

关键词： Image coding

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