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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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Challenging Issues in Multichannel Radar Array processing

Challenging Issues in Multichannel Radar Array Processing

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IEEE National Conference on Radar

作者： A. de Maio G. A. Fabrizio A. Farina W. L. Melvin L. Timmoneri Dipartimento di Ingegneria Elettronica e Delle Telecommunicationi Università Degli Studi di Napoli Federico II Napoli Italy Radar Signal Processing Group Intelligence Surveillance Reconnaissance Division Defence Science and Technology Organisation Edinburgh SA Australia SELEX Sistemi Integrati Rome Italy Sensors and Electromagnetic Applications Laboratory (SEAL) Georgia Institute of Technology Smyrna GA USA

This paper is focused on multichannel radar array processing and addresses some challenging issues concerning: the adaptation in nonstationary and nonhomogeneous environments, the value of Space-Time Adaptive processing (STAP) in an operational High Frequency (HF) radar system, the benefits resulting from the joint use of multiple (not colocated) transmitters and receivers, and the parallel implementation of the multichannel processor. The work follows on where the importance of a multichannel processing is demonstrated with reference to airborne, ground-based, and Over The Horizon (OTH) radar systems.

关键词： Array signal processing Spaceborne radar MIMO Radar signal processing Clutter Airborne radar Radar scattering Radar detection Radar applications Phased arrays

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Complex-wave retrieval based on blind signal separation

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Chinese Optics Letters 2006年第1期4卷 11-14页

作者：柴晓冬周成鹏冯兆艳王银花左言胜 Department of Electronic Science and Technology University of Science and Technology of ChinaHefei 230026 Key Laboratory of Intelligent Computing and Signal ProcessingMinistry of EducationAnhui UniversityHefei 230039 Key Laboratory of Intelligent Computing and Signal Processing Ministry of EducationAnhui UniversityHefei 230039

In tile process of the reconstruction of digital holography. the traditional methods of diffraction and filtration are commonly adopted to recover the original complex-wave signal. Influenced by twin-image and zero-order terms, the above-mentioned methods, however, either limit tile field of vision or result in the loss of the amplitude and phase. A new method for complex-wave retrieval is presented, which is based on blind signal separation. Three frames of holograms are captured by a charge coupled device （CCD） camera to form an observation signal. The term containing only amplitude and phase of complex-wave is separated, by means of independent component analysis, from the observation signal, which effectively eliminates the zero-order term. Finally. the complex-wave retrieval of pure phase wavefront is achieved. Experimental results show that this method can better recover the amplitude and phase of the original complex-wave even when there is a frequency spectrum mixture in the hologram.

关键词： Charge coupled devices Image reconstruction Independent component analysis signal interference signal processing Spectrum analysis

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Study on imaging algorithm of de-chirped FM-CW SAR

Study on imaging algorithm of de-chirped FM-CW SAR

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CIE International Conference on Radar

作者： Geng Shu-min Cheng Zhu Huangfu Kan Laboratory of signal processing School of Electronic Science and Engineering National University of Defense Technology China

ISBN: (纸本)9780780395824

There is a growing interest in the frequency modulated continuous wave (FM-CW) SAR for its small cubage, light weight, cost-effective and high resolution. In this paper, the author deduced the imaging process in detail, discussed the production and the removing of Residual video phase (RVP) as well as the Slope factor, then the improved imaging algorithm is presented by combination de-sloping, range migration correction with pulse compression. The derivation and the simulation proved the algorithm is feasible and correct.

关键词： SAR FM-CW imaging algorithm RVP Slope factor De-sloping

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Passive maneuvering target tracking using 3D constant-turn model

Passive maneuvering target tracking using 3D constant-turn m...

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2006 IEEE Radar Conference

作者： Ronghui, Zhan Jianwei, Wan Laboratory of Signal Processing School of Electronic Science and Engineering National University of Defense Technology Changsha 410073 China

ISBN: (纸本)0780394976

Most previous literature in the maneuvering target tracking community focus on 2D models or 3D models where target maneuvers mostly in a horizontal plane, and usually an acceptable accuracy can be expected when these models are applied to 3D tracking of civilian aircraft. However, it is not the case when come to agile military aircraft which turns in the 3D space rather than just horizontally, so more accurate model has to be developed to obtain better estimation of the target's state and that is the emphasis upon which our work places. The main contribution in the paper is two twofold, namely the derivation of the details for 3D constant-turn maneuvering model and its application in passive target tracking. Due to the nonlinear measurement and large initial errors in our application background, classical extended Kalman filter (EKF) degrades its performance greatly and is prone to diverge, for this reason we developed the Unscented Kalman filter (UKF) based IMM algorithm to improve the tracking precision. Simulation studies are performed on two illustrative examples and good tracking performance has been achieved with only single passive sensor, which indicates the proposed method is effective. © 2006 IEEE.

关键词： Radar target recognition

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