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检索条件"主题词=Detection Algorithms"

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Performance of Antenna Permutation for Multi-rate Gigabit MIMO-LDPC

Performance of Antenna Permutation for Multi-rate Gigabit MI...

引用

International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM)

作者： Yongho Lee Yuro Lee Sok-kyu Lee School of Engineering University of Science and Technology Liaoning Daejeon South Korea Electronics and Telecommunications Research Institute Next Generation WLAN Research Team Daejeon South Korea

ETRI has developed and successfully demonstrated a mobile communications technology dubbed "New Nomadic Local Area Wireless Access" (NoLA) that will allow users to download data at 3.6 Gbps. NoLA is designed as an 8times8 MIMO-OFDM system. NoLA transmits two lower rate streaming signals and six higher rate streaming signals through eight transmit antennas. After QR-decomposition of the received multi-rate signals, the lower rate streaming signals are decoded by multi-dimensional detector and removed by the successive interference cancellation scheme. The remaining six higher rate streaming signals are decoded using a weighted zero-forcing detector. Besides, NoLA adopts an independent LDPC coding scheme to process high-speed decoding at gigabit. In this paper, we propose an antenna permutation scheme for multi-rate MIMO systems with an independent LDPC coding scheme like NoLA. The simulation results show that the higher rate streaming signals achieve higher performance gain than the lower rate streaming signals by only a simple modification of the MIMO-OFDM system.

关键词： MIMO Antennas Detectors Transmitting antennas detection algorithms Decoding Receiving antennas

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Collusion-aware traitor tracing in multimedia fingerprinting using sparse signal approximation

Collusion-aware traitor tracing in multimedia fingerprinting...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： David Varodayan Christine Pepin University of Stanford Stanford CA USA DoCoMo Communications Laboratory USA Inc. Palo Alto CA USA

We pose the problem of tracing traitors, who have colluded to circumvent a multimedia fingerprinting system, as a sparse underdetermined linear problem. We propose a range of detection algorithms, based on sparse signal approximation, that span a tradeoff between performance and complexity. These algorithms are superior to conventional detection by correlation because they are collusion-aware. The simplest algorithm among them is more expensive than correlation by only a constant factor, and the second simplest one is more expensive by only a factor linear in the maximum number of traitors. We demonstrate that our proposed algorithms extend the robustness of already deployed fingerprinting schemes under both linear and nonlinear collusion attacks. For example, roughly twice as many traitors can be traced reliably than by using correlation, under mean or median collusion followed by compression.

关键词： Data security Fingerprint recognition Detectors Watermarking Vectors Robustness Spread spectrum communication Multimedia systems detection algorithms MIMO

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A Speech Based Algorithm for Watermarking Relational Databases

A Speech Based Algorithm for Watermarking Relational Databas...

引用

International Symposiums on Information Processing (ISIP)

作者： Haiqing Wang Xinchun Cui Zaihui Cao College of Information Technology & Communication Qufu Normal University Rizhao China

ISBN: (纸本)9781424430536;9780769531519

This paper studies a novel scheme of watermarking relational databases for copyright protection. Speech signal is introduced as watermark to be embedded into the relations; associated novel watermark insertion algorithm and detection algorithm are proposed. Thus, the watermark signal in this method is expected to be more meaningful and has closer correlative to the copyright holder. Experimental results verify that the proposed method is feasible, effective and robust.

关键词： Watermarking Relational databases Speech coding detection algorithms Biometrics Copyright protection Change detection algorithms Information processing Speech processing Educational institutions

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MIMO Transceiver Scheme Based on Singular Linear Transform

MIMO Transceiver Scheme Based on Singular Linear Transform

引用

IEEE International Conference on Circuits and Systems for Communications (ICCSC)

作者： Lee Li Kuilin Chen Lintang Fang Yanchun Li Xiaoyun Wu Intel Communication Technology Laboratory Intel Corporation Beijing China

Multiple input multiple output (MIMO) wireless systems have gained increasing attention today. Based on research for the known spatial multiplexing detection algorithms, in order to improve BER performance and decrease the computational complexity, we propose a MIMO transceiver scheme using singular linear transformation (SLT) in this paper. In this scheme, the transmitted signal vectors with a proper time interval are combined together by an optimizing singular linear matrix. The signal detection at the receiver includes the coarse estimator based on zero forcing (ZF) filter and the fine estimator based on parallel interference cancelation (PIC). Simulation results show that this novel MIMO scheme can improve the receive diversity order, improve the Bit Error Rate (BER) performance, and decrease the computational complexity without loss in spectrum efficiency.

关键词： MIMO Transceivers Bit error rate Computational complexity detection algorithms Vectors Signal detection Filters Interference cancellation Computational modeling

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Parallelization of AdaBoost algorithm on multi-core processors

Parallelization of AdaBoost algorithm on multi-core processo...

引用

IEEE Workshop on Signal Processing Systems (SIPS)

作者： Yen-Kuang Chen Wenlong Li Xiaofeng Tong Corporate Technology Group Intel Corporation

This paper examines and extracts the parallelism in the AdaBoost person detection algorithm on multi-core processors. As multi-core processors become pervasive, effectively executing many threads simultaneously is crucial in harnessing the computation power. Although the application exposes many levels of parallelism, none of them delivers a satisfactory scaling performance on newest multi-core processors due to load imbalance and parallel overhead. This paper demonstrates how to analyze the thread-level parallelism, and how to choose appropriate one to utilize current 4-core and 8-core processors. With careful optimization and parallelization, the AdaBoost person detection algorithm can efficiently utilize the power of multi-core processors, and now it is 7 times faster than the serial version.

关键词： Multicore processing Parallel processing Signal processing algorithms Object detection Concurrent computing detection algorithms Acceleration Face detection Computer vision Pervasive computing

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Discovering Class Specific Composite Features through Discriminative Sampling with Swendsen-Wang Cut

Discovering Class Specific Composite Features through Discri...

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26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), vol.1

作者： Feng Han Ying Shan Harpreet S. Sawhney Rakesh Kumar Sarnoff Corporation Princeton NJ USA One Microsoft Way Redmond Microsoft Corporation Washington D.C. DC USA

This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects using AdaBoost. Each composite feature is constructed from the combination of multiple individual features. Unlike previous works that design features manually or with certain restrictions, the class specific features are selected from the space of all combinations of a set of individual features. To achieve this, we first establish an analogue between the problem of discriminative feature selection and generative image segmentation, and then draw discriminative samples from the combinatory space with a novel algorithm called Discriminative Generalized Swendsen-Wang Cut. These samples form the initial pool of features, where AdaBoost is applied to learn a strong classifier combining the most discriminative composite features. We demonstrate the efficacy of our approach by comparing with existing detection algorithms for finding people in general pose.

关键词： Sampling methods Object detection Face detection Computer vision Image sampling Image segmentation Voting Image generation detection algorithms Image converters

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Distributed Coordinate-Free Hole Recovery

Distributed Coordinate-Free Hole Recovery

引用

IEEE International Conference on Communications Workshops, ICC

作者： X. Li D. K. Hunter Department of Computing and Electronic Systems University of Essex Colchester UK

This paper proposes a distributed coordinate-free non-triangulated hole recovery algorithm for sensor networks called 3MeSH-DR (triangular mesh distributed hole recovery), which recovers coverage holes with the minimum number of redundant nodes using only connectivity information. If this hole cannot be triangulated by edges between pairs of nodes closer that 2 units from each other, the boundary of the hole is detected accurately with the minimum number of edges. It is shown to be error-free by thousands of simulations with different random topologies and node densities. Because of its high reliability and modest requirements for computing power and memory, 3MeSH-DR is an efficient solution for hole detection and recovery without location information in real sensor network applications.

关键词： Peer to peer computing detection algorithms Partitioning algorithms Wireless sensor networks Computer networks Network topology Nominations and elections Communications Society Conferences Distributed computing

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On-line identification of the heart hemodynamic parameters via an adaptive estimator using invasive noisy blood pressure waveform observations

On-line identification of the heart hemodynamic parameters v...

引用

Computers in Cardiology (CinC)

作者： A. Ghaffari M. Atarod M.R. Homaeinezhad R. Rahmani K.N. Toosi University of Technology Tehran Iran University of Tehran Tehran Iran

In this study, an innovative least-squares adaptive estimator is developed for heart fault diagnosis. The reference model of this study is the one developed by Ursino in 1998. Mitral valve function is studied in this paper based on a new method which uses invasive noisy blood pressure waveform observations of left ventricle, left atrium, and left pulmonary vein. To meet this end, an adaptive algorithm is designed for estimation of discontinuous time-variant parameter values and then Ursinopsilas model simulator is utilized for the evaluation of Mitral valve non-linear gain. The results obtained, indicate the high capability of the presented model in the estimation of different cardiovascular parameters and so fault diagnosis in heart valves.

关键词： Hemodynamics Blood pressure Mathematical model Heart valves Cardiovascular system Parameter estimation Fault diagnosis Cardiology Pressure measurement detection algorithms

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Finding Optimum Similar Regions

Finding Optimum Similar Regions

引用

Congress on Image and Signal Processing, CISP

作者： Zhengguang Xu Gu Yuan University of Science and Technology Beijing China

In this paper we present a novel rotation- and affine-invariant image regions detector, coined OSR (Optimum Similar Regions). The two steps of OSR is: first, segment an image with thresholds based on graph theory, these regions of the segmentation results are so called similar regions. Second, the subset of similar regions is confirmed according to the regulation of the similar region’s cardinality. The paper presents experimental results on a standard evaluation set, as well as on application of wide baseline image matching. Both of them show OSR’s strong performance.

关键词： Detectors Image segmentation Graph theory Computer vision Space technology Signal processing Image matching detection algorithms Image edge detection Signal processing algorithms

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A generalized likelihood ratio test for detecting targets in multiple-band spectral images with improper complex Gaussian noise

A generalized likelihood ratio test for detecting targets in...

引用

IEEE International Conference on Image Processing

作者： Ghaith M. Matalkah James M. Sabatier Mustafa M. Matalgah National Center for Physical Acoustics University of Mississippi MS USA Department of Electrical Engineering University of Mississippi MS USA

A generalized likelihood ratio test is derived for detecting target patterns in multi-band spectral images with improper complex Gaussian noise. The GLR test generalizes previously derived tests, which were restricted to proper complex Gaussian noise. However, this generalization comes for the price of increased computational time. The GLR test is derived based on the joint multivariate pdf of the magnitude and phase of correlated complex Gaussian variables. An expression for the probability of false alarm is obtained which shows that the test achieves a constant false alarm rate. The GLR test was applied to simulation and experimental data and showed satisfying results.

关键词： Gaussian noise Signal processing algorithms Acoustic testing Frequency detection algorithms Acoustic signal detection Optical sensors Gaussian distribution Infrared detectors Computational modeling

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