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检索条件"机构=Science and Technology on Radar Signal Processing Laboratory"

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Arithmetic extended-mapping for BICM-ID with repetition codes

Arithmetic extended-mapping for BICM-ID with repetition code...

引用

International ITG Workshop on Smart Antennas, WSA 2009

作者： Yano, Takashi Matsumoto, Tad Central Research Laboratory Hitachi Ltd 1-280 Higashi-koigakubo Kokubunji Tokyo185-8601 Japan Information Theory and Signal Processing Laboratory Japan Advanced Institute of Science and Technology University of Oulu 1-1 Asahidai Nomi Ishikawa923-1292 Finland

A novel arithmetic extended mapping technique is proposed in this paper for bit-interleaved coded modulation with iterative decoding (BICM-ID) with repetition codes as well as for their modifications. With the proposed mapping scheme, the computational complexity of BICM-ID is significantly reduced compared with conventional quadrature amplitude modulation (QAM) mapping schemes Performances of BICM-ID using the proposed extended mapping rules are also verified both by the extrinsic information transfer (EXIT) analysis and bit error rate (BER) simulations. The results show that with the proposed BICM-ID scheme, the code rate, at which, given the channel signal-to-noise power ratio (SNR) bit error rate can made arbitrarily small, is almost 90% of channel capacity, and such excellent property holds at relatively wide range of SNR values.

关键词： Mapping

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Identifying protein-protein interaction sites using adapted Bayesian classifier

Identifying protein-protein interaction sites using adapted ...

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2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009

作者： Chishe, Wang Jie, Song Fangping, Li Junsong, Lv School of Information Technology Jinling Institute of Technology Nanjing 211169 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Center of Network University of Science and Technology of China Hefei 230029 China Anhui Statistics Bureau Hefei 230001 China

ISBN: (纸本)9781424442461

Identifying protein-protein interaction sites have important connotations ranging from rational drug design to analysis metabolic and signal transduction networks. In this paper, we presented an adapted Bayesian classifier based on tree augmented naïve Bayesian classifier to predict interface residues of protein-protein interaction sites. This classifier used fixed structure which could denote the correlation of sequence neighborhood and the character of protein's features. The conditional probability tables of the classifier were learned from the training dataset. By testing our approach on 81 hetero-complex chains, experimental results demonstrate the performance of our approach is indeed superior to current existing methods. The success of the predictions is validated by examining the predictions in the context of the three-dimensional structures of protein complexes. ©2009 IEEE.

关键词： Forecasting

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Accurate 3D shape estimation based on combinatorial optimization

Accurate 3D shape estimation based on combinatorial optimiza...

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IEEE International Conference on Image processing

作者： Seong-O Shim Tae-Sun Choi Signal and Image Processing Laboratory School of Information and Mechatronics Gwangju Institute of Science and Technology Gyeongju South Korea

The problem of estimating the three-dimensional (3D) geometry of an object from a sequence of images obtained at different focus settings is called shape from focus (SFF). The conventional SFF methods apply focus measure operator at each pixel using neighboring pixels in the same image frame. However, for an object with complex geometry, such methods cannot compute accurate focus level of a pixel, since the neighboring pixels in an image, taken with small depth of field, do not have the same focus level. In this paper, a novel SFF algorithm based on combinatorial optimization is proposed. After the rough estimate of the shape, we refine the shape iteratively by searching the optimal focus measure of each pixel using neighboring pixels on various image frames. The proposed SFF algorithm shows improvements in both the accuracy of the shape and the computational complexity in comparison to the previous SFF methods.

关键词： Focusing Pixel Shape measurement Iterative algorithms Computational complexity Layout Volume measurement signal processing Image processing Mechatronics

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Approximating 3D shape using Bezier surface

Approximating 3D shape using Bezier surface

引用

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

作者： Mannan Saeed Muhammad Muhammad Tariq Mahamood Tae-Sun Choi Signal and Image Processing Laboratory School of Information and Mechatronics Gwangju Institute of Science and Technology Gwangju South Korea

Estimating 3D shape of the object is an important research topic in the area of computer vision, with a wide range of applications. This paper introduces a new method for focused-based passive methods (like SFF) to approximate the 3D shape of the object using Bezier surface. The discrete nature of image sampling results in the loss of information between two consecutive images. Conventional approximation methods optimize or interpolate focus values. We have suggested interpolating depth values instead of focus value over a small patch on the object surface. The method approximates the surface more accurately and also reduces any noise caused by focus measure. The proposed method is tested and analyzed to demonstrate the effectiveness against traditional methods.

关键词： Shape Focusing Computer vision Application software Image sampling Approximation methods Optimization methods Noise reduction Noise measurement Testing

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A 5-Parameter Bundle Adjustment Method for Image Mosaic

A 5-Parameter Bundle Adjustment Method for Image Mosaic

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International Conference on Computer and Information science (ACIS)

作者： Xianyong Fang Bin Luo Haifeng Zhao Yiwen Zhang Key Laboratory of Intelligent Computing and Signal Processing of MOE School of Computer Science and Technology Anhui University China

A 5-parameter bundle adjustment method is proposed in this paper for global mosaic of an image sequence. By decomposing the rotation matrix into a 3-parameter rotation axis and a rotation angle, to each image, there are 5 parameters that need estimate for rotation axis, rotation angle and focal length. The proposed method minimizes the distance between feature matches in 3D space so that these 5 parameters are refined gradually for final stitching of all images together. Experimental results suggest that this method is an useful extension to existing research with the advantages of real 3D camera motion, accurate 5-parameter rotation decomposition and reliable 3D feature definition.

关键词： Image sequences Matrix decomposition Parameter estimation Cameras

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Performance evaluation of accelerated functional MRI acquisition using compressed sensing

Performance evaluation of accelerated functional MRI acquisi...

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IEEE International Symposium on Biomedical Imaging

作者： Hong Jung Jong Chul Ye Bio-Imaging & Signal Processing Laboratory Department of Bio and Brain engineering Korea Advanced Institute of Science and Technology Daejeon South Korea

ISBN: (纸本)9781424439317

Functional MRI (fMRI) has been widely accepted as a standard tool to study the function of brain. However, because of the limited temporal resolution of MR scanning, researchers have experienced difficulties in various event related cognitive studies which usually require higher temporal resolution than the current acquisition protocol. Even if several accelerated fMRI methods have been proposed to overcome the limited temporal resolution, the results have not been widely accepted since there were concerns whether the result came from blood oxygen level-dependent (BOLD) signal or artifacts due to down sampling. The main contribution of this paper is to propose a new high spatio-temporal resolution fMRI technique based on compressed sensing theory and to justify the performance using receiver operating characteristic (ROC) curve.

关键词： Acceleration Magnetic resonance imaging Compressed sensing Spatial resolution signal resolution Image reconstruction Blood Focusing Electroencephalography Image analysis

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Methods for factorization and approximation of Tensors by partial Fiber Sampling

Methods for factorization and approximation of Tensors by pa...

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IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive processing (CAMSAP)

作者： Cesar F. Caiafa Andrzej Cichocki Laboratory of Advanced Brain Signal Processing Brain Science Institute Riken Japan Systems Research Institute Warsaw University of Technology Pan Poland

ISBN: (纸本)9781424451791;9781424451807

In this paper we present, discuss and compare new methods for the reconstruction of tensors by partial sampling, i.e. based on the information contained only in a subset of their entries. As a generalization of the CUR matrix decomposition, which approximates a matrix from a subset of its rows and columns, we present two methods called Tree-CUR and FSTD (Fiber Sampling Tensor Decomposition) for estimating a tensor by using a subset of its n-mode fibres, i.e. some row, column and tube fibers for a 3-dimensional tensor case. As our experimental results show, these new methods are potentially useful tools for signal processing with huge datasets since they provide fast algorithms for calculating low-rank approximations without needing to sample the whole dataset.

关键词： Tensile stress Sampling methods signal processing algorithms signal sampling Matrix decomposition Frequency Image analysis signal analysis Conferences Laboratories

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Ab initio maximum likelihood reconstruction of helical macromolecules using electron microscopy

Ab initio maximum likelihood reconstruction of helical macro...

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IEEE International Symposium on Biomedical Imaging

作者： Min Woo Kim Jong Chul Ye Bio-Imaging & Signal Processing Laboratory Department Bio& Brain Engineering Korea Advanced Institute of Science and Technology Daejeon South Korea

ISBN: (纸本)9781424439317

Recent advance in cryo-electron microscopy allows structural determination of helical macromolecules without forming crystals. A conventional reconstruction method for helical structure is the Fourier-Bessel transform approach. However, this approach often fails in some instances such as flexible and disordered specimens. In order to overcome the drawbacks, a single particle reconstruction approach has been recently proposed. However, it often requires a good initial guess to guarantee the convergence. This paper describes an accurate model free maximum likelihood helical reconstruction algorithm by exploiting the symmetry and sparsity, which overcomes the drawbacks of the conventional methods.

关键词： Electron microscopy Reconstruction algorithms Image reconstruction Fourier transforms Maximum likelihood estimation Convergence Parameter estimation X-ray diffraction Image segmentation Fasteners

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A limited feedback SDMA scheme with dynamic multiplexing order

A limited feedback SDMA scheme with dynamic multiplexing ord...

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IEEE Workshop on signal processing Advances in Wireless Communications (SPAWC)

作者： Yongming Huang Luxi Yang Mats Bengtsson Bjorn Ottersten School of Information Science and Engineering South-East University Nanjing China Signal Processing Laboratory School of Electrical Engineering Royal Institute of Technology Stockholm Sweden

This paper proposes a new codebook-based SDMA scheme, which employs a variable number of active beams, i.e., a dynamic multiplexing order, to target a good tradeoff between the multiplexing gain and the inter-user interference. The new transmit scheme consist of a modification of the conventional feedback information and the development of a novel scheduling algorithm, where the new scheduling algorithm utilizes a merging of the channel correlation with limited feedback information, and is based on a proposed ML estimate of the possible user interferences. Simulation results demonstrate that in sparse networks the proposed SDMA scheme considerably outperforms some conventional SDMA schemes in terms of the sum throughput, with a comparable feedback overhead.

关键词： Feedback Multiaccess communication Interference Dynamic scheduling Transmitting antennas Transmitters Maximum likelihood estimation Throughput Scheduling algorithm Time division multiple access

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Phase Retrieval Using the Transport-of-Intensity Equation

Phase Retrieval Using the Transport-of-Intensity Equation

引用

International Conference on Image and Graphics (ICIG)

作者： Hong Cheng Hong Liu Quanbing Zhang Sui Wei Education Ministry Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China College of Electronic Science and Technology Anhui University Hefei China

ISBN: (纸本)9781424452378

The transport-of-intensity equation describes the internal relationship between the intensity and phase distribution while wave is propagating in the mobile space. So the phase distribution can be solved by the use of the equation. It is an important measurement of non-interferometry. A new phase retrieval based on transport-of-intensity equation is presented. This method has the advantage of measuring only the close-up space on the plane of the intensity of light to the reconstruction of phase space. The problem of phase retrieval is translated into minimum of energy functional with linear convolution and total variation regularization. The one and two dimension experiment results show the correctness and validity of the algorithm.

关键词： Equations Phase measurement Space technology Holography Optical interferometry Extraterrestrial measurements Holographic optical components Image reconstruction signal processing algorithms Diffraction

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