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Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging

作者： Qin, Chenghu Tian, Jie Yang, Xin Liu, Kai Feng, Jinchao Xua, Min Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences P. O. Box 2728 Beijing 100190 China Life Science Center Xidian University Xi'an Shaanxi 710071 China The College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100124 China

ISBN: (纸本)9780819475138

As a promising optical molecular imaging modality, bioluminescence tomography (BLT) has attracted remarkable attention for its excellent performance and high cost-effectiveness, which can be employed to speciffically and directly reveal physiological and pathological activities in vivo at molecular and cellular levels. The goal of BLT is to reconstruct the internal bioluminescent light source with surface measurements. Therefore, the calculation of surface light exitance plays an important role in the inverse source reconstruction, whereas photon propagation is complicated because of strongly scattering property of the biological tissue. In this contribution, a novel meshless local Petrov-Galerkin (MLPG) method based on diffusion approximation model is developed to avoid the complex and time-consuming mesh division in the conventional finite element method (FEM), and MLPG requires only a series of discretized nodes without consideration of element information and node connectivity. Compared with other meshless methods based on global weak-form, background cells used for Gauss quadrature are also omitted in the proposed method. In addition, the tissue optical parameters are incorporated as a priori knowledge in this algorithm. Finally, the performance of this method is valuated using two- and three-dimensional numerical simulation experiments. The results demonstrate the effectiveness and feasibility of the presented algorithm to predict boundary bioluminescent light power distribution. © 2009 SPIE.

关键词： Finite element method

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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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A numeric range migration algorithm of space- surface bistatic SAR

A numeric range migration algorithm of space- surface bistat...

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2009 IET International Radar Conference

作者： Jie Zhen Zhenhua Zhang Shunjun Wu National Key Laboratory of Radar Signal Processing Xidian University Xi'an China No.704 Institute Chinese Aerospace Science and Technology Corporation Beijing China

Focusing on the continuous wave spaceborne-airborne bistatic synthetic aperture radar (SAR) system where satellites of global navigation satellite system (GNSS) as transmitters and the airborne radar as the receiver, we propose a fast numeric range migration algorithm (RMA). Firstly, based on the concept of instantaneous Doppler wavenumber, analytic formula of the point spread response in the spectral domain is developed for bistatic SAR(BiSAR) with unequal velocity and parallel trajectory constellation. Then, relying on a first-order Taylor expansion of the above formula with respect to the parameter called the sum of closest distances on the swath center, a bistatic RMA algorithm is proposed for BiSAR imaging. Simulation results have confirmed the effectiveness of the proposed novel approach.

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A codebook-based precoding for dual-hop downlink with MIMO amplify-and-forward relaying

A codebook-based precoding for dual-hop downlink with MIMO a...

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

This paper deals with the practical precoding design for a two-hop downlink with MIMO amplify-and-forward relaying. A novel scheme of codebook-based joint precoding at both the base station and the relay station is first presented, in which a distributed codeword selection is proposed to concurrently choose two joint precoders such that the feedback delay is considerably reduced. Then, the joint codebook design in such a joint precoding system is analyzed, revealing that independent codebook designs at the base station and relay station using the conventional Grassmannian subspace packing method is able to guarantee that the overall performance improves with either size of two codebooks. The excellent performances of the proposed scheme, in terms of both the sum rate and the BER, are finally confirmed with computational simulations.

关键词： Downlink MIMO Relays Feedback Base stations Delay signal design Transceivers Computational complexity Array signal processing

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Extension of joint diagonalization for moving targets

Extension of joint diagonalization for moving targets

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

作者： Gen Hori Toshihisa Tanaka Laboratory of Advanced Brain Signal Processing Brain Science Institute RIKEN Japan Department of Electrical and Electronic Engineering Tokyo University of Agriculture슠and슠Technology Japan

ISBN: (纸本)9781424451791

Joint diagonalization algorithm is extended for a time-varying mixing matrix. A new method termed ¿differential joint diagonalization (DJD)¿ is introduced to calculate the time-difference of the demixing matrix from the time-difference of the time-delayed correlations and applied to BSS algorithm based on joint diagonalization of time-delayed correlations. An alternate algorithm of differential joint diagonalization (DJD) and joint diagonalization (JD) for tracking a time-varying mixing matrix is proposed.

关键词： signal processing algorithms Matrices Conferences Asia Agriculture Adaptive signal processing Blind source separation Linear approximation Approximation algorithms Delay effects

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Real-time processing of simplex growing algorithm

Real-time processing of simplex growing algorithm

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2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009

作者： Wu, Chao-Cheng Chang, Chein-I. Ren, Husen Chang, Yang Lang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 United States Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Center for Space and Remote Sensing Research National Central University Jhong-Li Tao-Yuan Taiwan Department of Electrical Engineering National Taipei University of Technology Taipei Taiwan

ISBN: (纸本)9781424433957

Simplex growing algorithm (SGA) was recently developed as an alternative to the N-finder algorithm (N-FINDR) which is shown to be a promising endmember extraction technique. This paper further extends the SGA to a real-time processing algorithm, referred to as real-time SGA (RT SGA) that can effectively address four major issues arising in practical implementation for N-FINDR, (1) use of random initial endmembers which causes inconsistent final results, (2) very high computational complexity which results from an exhaustive search for finding all endmembers simultaneously, (3) requirement of dimensionality reduction because of enormous data volumes to be processed and (4) lack of real-time capability. ©2009 IEEE.

关键词： Extraction

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Classifier-Based Feature Fusion for Texture Discrimination

Classifier-Based Feature Fusion for Texture Discrimination

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International Conference on Information Engineering and Computer science (ICIECS)

作者： Jianglin Ma Zhouwei Zhang Chengyi Wang Zhong Chen Remote Sensing Image Processing Laboratory Institute of Remote Sensing Applications Chinese Academy and Sciences Beijing China Institute for Pattern Recognition & Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424449934

A classifier-based method to select and fuse grey level co-occurrence matrix (GLCM), Gaussian Markov random field (GMRF) and discrete wavelet transform (DWT) features to improve texture discrimination is presented. Feature selection via wrapper approaches is applied to find the optimal combination of texture features. The fused features have obtained higher discrimination accuracy compared with individual features. The curse of dimensionality is shown to affect discrimination accuracy, and feature selection and reduction helps obtain higher accuracy. Overall our proposed classifier-based method obtains the highest discrimination accuracy compared to other feature reduction methods such as principal component analysis (PCA) and linear discriminant analysis (LDA). Meanwhile GLCM features are found to produce higher discrimination accuracy than GMRF and DWT, and LDA is demonstrated to obtain higher discrimination accuracy than PCA.

关键词： Discrete wavelet transforms Linear discriminant analysis signal processing algorithms Feature extraction Remote sensing Markov random fields Principal component analysis Classification algorithms Fuses Wavelet analysis

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signal processing for neural spike trains

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Computational intelligence and neuroscience 2010年第1期2010卷 698751页

作者： Theodore W Berger Zhe Sage Chen Andrzej Cichocki Karim G Oweiss Rodrigo Quian Quiroga Nitish V Thakor Department of Biomedical Engineering Viterbi School of Engineering University of Southern California Los Angeles CA 90089 USA Neuroscience Statistics Research Laboratory Massachusetts Institute of Technology Cambridge MA 02139 USA Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Wako-shi Saitama 351-0198 Japan Department of Electrical and Computer Engineering Michigan State University MI 48824 USA Department of Engineering University of Leicester Leicester LE1 7RH UK School of Medicine Johns Hopkins University Baltimore MD 21205 USA

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Classification of single trial EEG during imagined hand movement by rhythmic component extraction

Classification of single trial EEG during imagined hand move...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Hiroshi Higashi Toshihisa Tanaka Arao Funase Department of Electrical and Electronic Engineering Tokyo University of Agriculture슠and슠Technology Japan Laboratory of Advanced Brain Signal Processing RIKEN Brain Science Institute Japan Graduate School of Engineering Nagoya Institute of Technology Japan

An electroencephalograph (EEG)-based brain computer interface (BCI) requires rapid and reliable extraction of features in EEG signal. Recently, the rhythmic component extraction (RCE) method has been proposed to extract features of multi-channel EEG. RCE can extract a signal component with a certain frequency from multi-sensor signals. In this paper, we applied RCE to extract a feature corresponding to hand movement imagery tasks from signals measured by EEG. This feature from a single trial EEG signal is classified between imaginary left/right hand movement EEG using machine learning. On two subjects, our experiment shows that the combination of RCE and fisher discriminant analysis outperforms common spatial patterns (CSP) in classification accuracy. It is also reported that other major classifiers together with RCE give better performance than CSP. Additionally, we consider the relationship between data length and classification accuracy. It is shown that the accuracy tends to decrease as the data length becomes small.

关键词： Electroencephalography Frequency Data mining Feature extraction signal processing Nonlinear filters Finite impulse response filter Filtering Brain computer interfaces Magnetic devices

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On the non-uniqueness problem and the semi-blind source separation

On the non-uniqueness problem and the semi-blind source sepa...

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IEEE Workshop on Applications of signal processing to Audio and Acoustics

作者： Francesco Nesta Ted S. Wada Shigeki Miyabe Biing-Hwang Juang Fondazione Bruno Kessler-Irst Università di Trento Trento Italy Center for Signal and Image Processing Georgia Institute of Technology Atlanta GA USA Department of Information Physics and Computing Graduate School of Information Science and Technology University of Tokyo Japan

Semi-blind source separation (SBSS) is a special case of the well-known source separation problem when some partial knowledge of the source signals is available to the system. In particular, a batch-wise adaptation in the frequency domain based on the independent component analysis (ICA) can be effectively used to jointly perform source separation and multi-channel acoustic echo cancellation (MCAEC) without double-talk detection. However, the non-uniqueness problem due to the correlated far-end reference signals still affects the SBSS approach. In this paper, we analyze the structure of the SBSS de-mixing matrix and the behavior of a batch on-line adaptation algorithm under two most common far-end mixing conditions. We show that with a proper constraint on the de-mixing matrix, high echo reduction can be achieved just as the misalignment remains relatively low even for the worst-case scenario of single far-end talker and also without any pre-processing procedure to decorrelate the far-end signals.

关键词： Source separation Independent component analysis Echo cancellers Frequency domain analysis Microphones Frequency response signal processing Decorrelation Blind source separation Filters

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