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检索条件"主题词=detection algorithms"

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MIMO NLMS-ZF Data detection approach for WCDMA based HSDPA systems

MIMO NLMS-ZF Data Detection approach for WCDMA based HSDPA s...

引用

IEEE Long Island Systems, Applications and Technology Conference (LISAT)

作者： Enoch Lu I-Tai Lu Department of Electrical and Computer Engineering Polytechnic Institute of New York University Brooklyn NY USA

This paper proposes several new approaches (NLMS-ZF weighting, NLMS-ZF iterations, NLMS-ZF joint, and Kalman data detection methods) to compare with the existing normalized least mean square (NLMS) data detection method for the multiple input multiple output (MIMO) high speed data packet access (HSDPA) enabled wideband code division multiple access (WCDMA) system. The NLMS data detection method has the lowest and Kalman (in general) the highest complexity of the methods. It is found that the Kalman method has the best performance and that the NLMS-ZF methods have some improvement over the NLMS data detection method for fast-varying channels.

关键词： Multiaccess communication MIMO Kalman filters detection algorithms Bit error rate Interference Wideband Rayleigh channels Information retrieval Channel state information

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A New Type of Automatic Ship detection Method

A New Type of Automatic Ship Detection Method

引用

International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Zhuo Chen Coll. of Inf. Sci. & Technol. Qingdao Univ. of Sci. & Technol. Qingdao China

A new type of automatic ship detection algorithm is proposed in this paper. By determining whether the local area is heterogeneous, simplex two-parameter CFAR algorithm based on Gauss-distribution or both two-parameter CFAR algorithm based on Gauss-distribution and two-parameter CFAR verification algorithm based on K-distribution are used to detect targets. This new type of algorithm keeps both the ability of traditional two-parameter CFAR algorithm' good features, such as small computation quantity, easy to implement and so on, and the detection accuracy in complex sea conditions at the same time.

关键词： Marine vehicles Signal processing algorithms Clutter Sea surface detection algorithms Radar detection Gaussian distribution Synthetic aperture radar Surface treatment Weibull distribution

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Automatic detection of concealed dielectric objects for personnel imaging

Automatic detection of concealed dielectric objects for pers...

引用

IEEE MTT-S International Microwave Workshop Series (IMWS)

作者： Sherif Sayed Ahmed Olaf Ostwald Lorenz-Peter Schmidt Microwave Engineering and High Frequency Technology (LHFT) University of Erlangen Nuremberg Erlangen Germany Rohde and Schwarz GmbH and Company KG Munich Germany

A technique for the automatic detection of concealed dielectric objects carried by persons is presented. The method is applicable for microwave personnel scanners with sufficient signal bandwidth and is expected to resolve the trade-off with the privacy of the scanned persons, allowing for efficient detection without the need for a human operator. Algorithm description along with measurement results in W-band are presented.

关键词： Object detection Dielectrics Personnel Microwave imaging Apertures Bandwidth Humans Privacy Optical imaging detection algorithms

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New algorithm for 2D barcode detection

New algorithm for 2D barcode detection

引用

International Conference on Advanced Communication Technology (ICACT)

作者： Elmoustava Ouldbarikalla Wadih Sawaya Yves Delignon Bertrand Pladeau Orange France France TELECOM Lille 1 France Institut Telecom TELECOM Lille 1 France

In this paper we propose a new two dimensional (2D) barcode detection algorithm. This algorithm can generally be proposed for high density codes with very small projected image. This algorithm is a simplified expression of the sum product algorithm (SPA). We apply it in a joint detection and decoding structure and then we will compare it with known 2D barcode decoding technique.

关键词： Decoding Signal processing algorithms Two dimensional displays Cameras Sum product algorithm Error probability Telecommunications detection algorithms Signal design Signal processing

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Reference Point and Orientation detection of Fingerprints

Reference Point and Orientation Detection of Fingerprints

引用

International Conference on Computer and Electrical Engineering, ICCEE

作者： Shahram Mohammadi Ali Farajzadeh Faculty of Engineering University of Zanjan Zanjan Iran

In this paper we suggest a novel approach for detection of a unique reference point and computation of a unique reference orientation of fingerprints for feature extraction in polar coordinates. After finding orientation field of the fingerprint the curvature measurement is done on the result. By using this information it is possible to determine the exact location of the singular points. Based on this information finally the reference point and reference orientation will be obtained. The proposed method is of high accuracy and performance and at the meantime tolerates displacement and rotation of the input fingerprint. This can be applied to all classes of fingerprints especially to problematic arch class ones.

关键词： Fingerprint recognition Feature extraction Authentication Computer networks Hardware Explosives IP networks Telecommunication computing Noise robustness detection algorithms

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A scalable MIMO detection architecture with non-sorted multiple-candidate selection

A scalable MIMO detection architecture with non-sorted multi...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Po-Lin Chiu Yuan-Hao Huang Department of Communication Engineering National Chiao Tung University Hsinchu Taiwan Institute of Communications Engineering and Department of Electrical Engineering National Tsing Hua University Hsinchu Taiwan

ISBN: (纸本)9781424438273

In this paper, we propose a QR-based MIMO detection algorithm and its architecture based on a non-sorted multiple-candidate selection process. The proposed multiple-candidate selection process can mitigate the error propagation problem in the general QR-SIC detection, and therefore the detection probability is increased. This algorithm requires only 24% of the computational complexity of the V-BLAST, which is only slightly larger than that of the conventional QR-SIC algorithm. Besides, the proposed algorithm features high flexibility between the complexity and the performance, and it can even reach the performance of ML detection for the high performance system. Furthermore, the flexible selection approach requires no sorting operation like traditional K-best algorithm. Thus, a simple scalable VLSI architecture can be constructed for different MIMO configurations.

关键词： MIMO detection algorithms Matrix decomposition Very large scale integration Transmitting antennas Detectors Receiving antennas Computational complexity Sorting Additive white noise

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Performance Assessment of a Mathematical Morphology Ship detection Algorithm for SAR Images through Comparison with AIS Data

Performance Assessment of a Mathematical Morphology Ship Det...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： R. Grasso S. Mirra A. Baldacci J. Horstmann M. Coffin M. Jarvis NATO Undersea Research Centre La Spezia Italy Italian Navy Italy NSIGHT SAS Italy SPAWAR Systems Center USA

This paper describes a procedure to evaluate the performance of ship detection algorithms for synthetic aperture radar (SAR) using real SAR images and automatic identification system (AIS) data as ground truth. Accurate AIS-SAR data association is achieved by correcting the AIS data for the SAR induced position errors by exploiting SAR acquisition parameters and vessel state information (speed and course) provided by AIS tracks. The methodology has been tested on a ship detection algorithm based on mathematical morphology which is described in this paper. The evaluation has been carried out on a RADARSAT-2 data set including images at different acquisition modes which was collected in the Mediterranean Sea. Estimates for the detection and the false alarm probability, and the contact position error are provided.

关键词： Morphology Marine vehicles detection algorithms Synthetic aperture radar Error correction Radar detection Detectors Radar tracking Intelligent systems Synthetic aperture sonar

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Discriminant random field and patch-based redundancy analysis for image change detection

Discriminant random field and patch-based redundancy analysi...

引用

IEEE Workshop on Machine Learning for Signal Processing

作者： Charles Kervrann Jerome Boulanger Thierry Pecot Patrick Perez INRIA Centre Rennes-Bretagne Atlantique Rennes France INRA UR341 Mathérnatiques et Informatique Appliquées Jouy-en-Josas France Johann Radon Institute of Computational (RICAM) Austrian Academy of Sciences Linz Austria Cell and Tissue Imaging Facility-IBISA Institut Curie Paris France

To develop better image change detection algorithms, new models able to capture all the spatio-temporal regularities and geometries seen in an image pair are needed. In contrast to the usual pixel-wise methods, we propose a patch-based formulation for modeling semi-local interactions and detecting occlusions and other local or regional changes in an image pair. To this end, the image redundancy property is exploited to detect unusual spatio-temporal patterns in the scene. We first define adaptive detectors of changes between two given image patches and combine locally in space and scale such detectors. The resulting score at a given location is exploited within a discriminant Markov random field (DRF) whose global optimization flags out changes with no optical flow computation. Experimental results on several applications demonstrate that the method performs well at detecting occlusions and meaningful regional changes and is especially robust in the case of low signal-to-noise ratios.

关键词： Image analysis Detectors Optical computing detection algorithms Solid modeling Geometry Pixel Layout Markov random fields Image motion analysis

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A new change detection algorithm for SAR images

A new change detection algorithm for SAR images

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IEEE International Conference on Radar

作者： Julien Lafaix Luc Bosser Thales Systemes Aeroportes Elancourt France

This article addresses the problem of SAR (synthetic aperture radar) images non-coherent change detection. Here, we use a multi-scale registration technique based on mutual information and we introduce a novel preprocessing algorithm to get rid of the corruptive multiplicative noise (also called speckle) on SAR images. The change detection is then easily and accurately performed with a local comparison between pixels.

关键词： detection algorithms Radar detection Image registration Synthetic aperture radar Mutual information Change detection algorithms Speckle Pixel Layout Radar imaging

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Improving Head detection from Tracking

Improving Head Detection from Tracking

引用

International Conference on Information Engineering and Computer Science (ICIECS)

作者： Dapeng Luo Nong Sang Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424449934

In this paper, we propose a novel framework for head detection and tracking in video sequences. At first, an off-line classifier is trained with a few labeled samples. And it was used to object detection in video sequences. Based on online boosting algorithm, the detected objects will be used to train the classifier as new samples. Instead of using another detection algorithm to label the new sample automatically like other online boosting framework, we ensure the correct label from tracking. Furthermore, the weights of new samples can be obtained from tracking directly. Thus the training speed of the classifier can be improved. Experimental results on two video datasets are provided to show the efficient and high detection rate of the framework.

关键词： Object detection Detectors Boosting Face detection Pattern recognition Artificial intelligence Video sequences detection algorithms Labeling Training data

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