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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets"

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An MCD-based local ACE algorithm for hyperspectral imagery target detection

An MCD-based local ACE algorithm for hyperspectral imagery t...

引用

IEEE International conference on Orange Technologies (ICOT)

作者： Hangqi Yan Yanning Zhang Wei Wei Lei Zhang Fei Li Bobo Wang School of Computer Science Northwestern Polytechnical University Xi'an School of Software and Microelectronics Northwestern Polytechnical University Xi'an

ISBN: (纸本)9781479962853

Unstructured detectors such as KGLRT, ACE and AMF are widely applied for target detection in hyperspectral imagery (HSI). However, conventional global and local approaches construct background model without considering the contamination caused by anomalies and suspected targets. This paper proposes a local ACE algorithm based on the minimum covariance determinant (MCD) estimator. In the proposed algorithm, a spectral angle based clustering method is applied to the whitened hyperspectral data to form several disjoint clusters over the whole image. Then for each cluster, the robust estimations of its background statistics are obtained using the MCD estimator. Finally, the ACE detector is applied to each pixel utilizing the robust background statistics of the cluster. With experimental results on two different real datasets, the superiority of the proposed algorithm is demonstrated.

关键词： Clustering algorithms Hyperspectral imaging Object detection Estimation signal processing algorithms Detectors Robustness

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Parameter Estimation of Multi Frequency Hopping signals Based on Compressive Spatial Time-frequency Joint Analysis

Parameter Estimation of Multi Frequency Hopping Signals Base...

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2014 IEEE 5th International conference on Software Engineering and Service Science

作者： Chunlei Zhang Lichun Li I.T. Institute of Zhengzhou

In order to estimate the parameters of multi Frequency-Hopping(FH) signals in the condition of non-cooperation and overcome the bottleneck of huge data processing,a parameter estimation method based on compressive saptial time-frequency joint analysis is *** the arbitrary compressive array structure is analyzed,then based on this structure we propose a method to estimate the direction of arrivals(DOAs) with only a small number compressive samplings by exploiting the spatial sparsity of multi FH *** by exploiting the sparsity in frequency domain,a spectrogram estimation algorithm is proposed by using the same compressive *** results show that this algorithm can effectively estimate multi Frequency-Hopping signals' DOAs and specrtograms with a tiny *** algorithm is lower in computation complexity,and can be very practical in real-time Frequency-Hopping signal processing.

关键词： Compressive sensing Parameter estimation Multi Frequency-Hopping signal Spatial time-frequency joint analysis

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On Covariance Structure in Noisy, Big data

On Covariance Structure in Noisy, Big Data

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25th SPIE conference on signal and data processing of small targets

作者： Paffenroth, Randy C. Nong, Ryan Du Toit, Philip C. Numerica Corp Loveland CO 80538 USA

ISBN: (纸本)9780819497079

Herein we describe theory and algorithms for detecting covariance structures in large, noisy data sets. Our work uses ideas from matrix completion and robust principal component analysis to detect the presence of low-rank covariance matrices, even when the data is noisy, distorted by large corruptions, and only partially observed. In fact, the ability to handle partial observations combined with ideas from randomized algorithms for matrix decomposition enables us to produce asymptotically fast algorithms. Herein we will provide numerical demonstrations of the methods and their convergence properties. While such methods have applicability to many problems, including mathematical finance, crime analysis, and other large- scale sensor fusion problems, our inspiration arises from applying these methods in the context of cyber network intrusion detection.

关键词： Sensors Matrices Computer networks Algorithms Computer intrusion detection Optimization (mathematics) Principal component analysis Sensor fusion data fusion Veins

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ESTIMATING PHONEME FORMANT TARGE T S AND COARTICULATION PARAME TERS OF CONVERSATIONAL AND CLEAR SPEECH

ESTIMATING PHONEME FORMANT TARGE T S AND COARTICULATION PARA...

引用

IEEE International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Bush, Brian O. Kain, Alexander Oregon Hlth & Sci Univ Ctr Spoken Language Understanding Portland OR 97201 USA

ISBN: (纸本)9781479903566

We present a data-driven formant model and methodology for discovering its parameters, namely phoneme targets and coarticulation functions for consonant-vowel-consonant (CYC) words from fully-automatic formant data. The model uses formant targets that are speaker dependent, but independent of speaking style and phonemic context. We used a global error measure to search for optimal formant targets for all phonemes, including classes of sounds where formants are not directly observable. Analysis of coarticulation parameters found significant differences in parameters between clear and conversational speech. Estimated formant targets were largely in agreement with acoustic-phonetic expectations. An intelligibility test validated that resynthesized CYC words using modeled formant trajectories were nearly as intelligible as resynthesized CYC words using observed formant trajectories.

关键词： coarticulation formants clear speech

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small-diameter directional borehole radar system with 3D sensing capability

Small-diameter directional borehole radar system with 3D sen...

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Proceedings of the International conference on Ground Penetrating Radar, GPR

作者： K. Wada S. Karasawa K. Kawata S. Ebihara Matsunaga Geo-survey Co. Ltd Tokyo Japan Osaka Electro-Communication University Neyagawa Japan

This paper describes a new directional borehole radar system and its field testing. The system uses a thin radar probe (57 mm diameter) and a circular dipole array directive antenna. The radar is of the step frequency type with a network analyzer. Through careful antenna design, we were able to achieve the compact radar probe and precise measurement at frequencies between 5 and 500 MHz. All the associated surface electronics for the radar system can be fit into a small carrying case. The radar probe includes a triaxial accelerometer, a triaxial compass, an angular velocity sensor and a thermometer. data from these sensors can be used to compensate for the rotation and inclination of the radar probe, and this enables us to locate reflection points in 3-D space correctly. All the data acquired by the radar probe were sent to the processing electronics via an optical link, and the data was updated in real time. Our field testing confirmed that system accuracy for determining arrival directions was better than 10 degrees between 30 and 180 MHz in wet soil. We demonstrated 3-D location of a buried cylindrical conducting object, which was set 2 m from the radar in wet soil. After system calibration and signal processing, we were able to estimate the reflection point position with an accuracy of 41 cm.

关键词： Adaptive optics Optical receivers Optical reflection Optical sensors Irrigation Arrays

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A Minimalist Approach to Bias Estimation for Passive Sensor Measurements with targets of Opportunity

A Minimalist Approach to Bias Estimation for Passive Sensor ...

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25th SPIE conference on signal and data processing of small targets

作者： Belfadel, Djedjiga Osborne, Richard W., III Bar-Shalom, Yaakov Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA

ISBN: (纸本)9780819497079

In order to carry out data fusion, registration error correction is crucial in multisensor systems. This requires estimation of the sensor measurement biases. It is important to correct for these bias errors so that the multiple sensor measurements and/or tracks can be referenced as accurately as possible to a common tracking coordinate system. This paper provides a solution for bias estimation for the minimum number of passive sensors (two), when only targets of opportunity are available. The sensor measurements are assumed time-coincident (synchronous) and perfectly associated. Since these sensors provide only line of sight (LOS) measurements, the formation of a single composite Cartesian measurement obtained from fusing the LOS measurements from different sensors is needed to avoid the need for nonlinear filtering. We evaluate the Cramer-Rao Lower Bound (CRLB) on the covariance of the bias estimate, i.e., the quantification of the available information about the biases. Statistical tests on the results of simulations show that this method is statistically efficient, even for small sample sizes (as few as two sensors and six points on the trajectory of a single target of opportunity). We also show that the RMS position error is significantly improved with bias estimation compared with the target position estimation using the original biased measurements.

关键词： Bias estimation bias observability statistical efficiency CRLB composite measurements maximum likelihood

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Hierarchical successive stream selection for heterogeneous network interference

Hierarchical successive stream selection for heterogeneous n...

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IEEE conference on Wireless Communications and Networking

作者： Esra Aycan Berna Özbek Didier Le Ruyet Electrical and Electronics Engineering Department İzmir Institute of Technology İzmir Turkey CEDRIC/LAETITIA CNAM Paris France

This paper presents a hierarchical stream selection approach to deal with the interference in a heterogeneous network where different cell types are coexisting with each other to increase the sum capacity. Due to the variety of the transmit powers between the macro and small cells, interference levels are different. The proposed solution hierarchically selects the strongest streams of each cell with a contribution to the sum rate, while constructing the streams via singular value decomposition (SVD). In order to reduce the interference, the channel matrices of the remaining streams are projected orthogonally to the virtual transmit channel and virtual receive channel of the selected stream. The performance evaluations are obtained by considering different locations of small cells with respect to the macro cell. It is shown that the proposed method can dynamically select more streams in heterogeneous networks and achieve higher data rates compared to the existing algorithms.

关键词： Interference Computer architecture Microprocessors Receivers Transmitters Array signal processing Null space

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Parallel query evaluation as a Scientific data Service

Parallel query evaluation as a Scientific Data Service

引用

IEEE International conference on Cluster Computing

作者： Bin Dong Surendra Byna Kesheng Wu Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA

Scientific experiments and simulations produce mountains of data in file formats, such as HDF5, NetCDF, and FITS. Often, a relatively small amount of data holds the key to new scientific insight. Locating that critical information in these large files is challenging because existing solutions need significant user involvement in preparing the data, generating indexes, and answering queries. data management systems that support querying, such as SciDB, require a costly process of loading data from scientific data formats to these systems. The search results also need to be converted back to a format needed by the subsequent data analysis and visualization tools. These steps are time-consuming, tedious, and possibly error-prone. Toward providing efficient data management directly on these scientific file formats, we introduce a framework called Scientific data Services (SDS). SDS targets to provide efficient data management optimizations as services. In this paper, we introduce the design and implementation of one such service, the parallel querying service. To answer the queries efficiently, we transparently augment user data with bitmap indexes and ordered datasets. We design the querying service to manage these augmented datasets and to redirect queries automatically to bitmap indexes or to ordered datasets based on their availability and the expected query response time. The generation of bitmap indexes and sorted datasets and querying are parallelized to work on large supercomputers. We show that SDS achieves 22X, 55X, and 62X speedups compared to conventional full-scan approach of sifting through data in answering three queries from a plasma physics analysis application.

关键词： Servers Indexing Sorting Libraries Optimization Query processing

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A distributed coalition formation scheme for interference management in dense small cell networks

A distributed coalition formation scheme for interference ma...

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International conference on Game Theory for Networks, GameNets

作者： Manzoor Ahmed Mugen Peng Biling Zhang Chengdan Sun Ishtiaq Ahmad Wireless Signal Processing and Network Laboratory Key Laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts and Telecommunications Beijing China

Todays wireless networks are mostly dominated by multimedia content, which poses much pressure on the macrocell networks. In such a case, underlaid small cells deployment is considered promising to off-load the traffic from the overburdened macrocell network and meet the applications' quality of service (QoS). However, the interference management among dense deployment of small cells remains a technical challenge. To address this issue, a neighborhood cooperation based interference mitigation scheme is proposed in this paper. By forming coalitions, small cell access points (SAPs) are able to mitigate co-tier interference within a coalition and thus improve their achievable data rates. The cooperative behavior among the neighborhood SAPs is formulated as a coalition game in partition form with externalities. To achieve a final stable coalition structure in the recursive core, a distributed algorithm based on merge with partial reversibility rule is introduced and its performance is theoretically analyzed. Simulation results show that the proposed algorithm can substantially improve the individual SAP throughput and system payoff as well when compared to the classical scheme and non-cooperative case.

关键词： Interference Macrocell networks

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Incremental Learning with Support Vector data Description

Incremental Learning with Support Vector Data Description

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International conference on Pattern Recognition

作者： Weiyi Xie Stefan Uhlmann Serkan Kiranyaz Moncef Gabbouj Signal Processing Department Tampere University of Technology Tampere Finland

ISBN: (纸本)9781479952106

Due to the simplicity and firm mathematical foundation, Support Vector Machines (SVMs) have been intensively used to solve classification problems. However, training SVMs on real world large-scale databases is computationally costly and sometimes infeasible when the dataset size is massive and non-stationary. In this paper, we propose an incremental learning approach that greatly reduces the time consumption and memory usage for training SVMs. The proposed method is fully dynamic, which stores only a small fraction of previous training examples whereas the rest can be discarded. It can further handle unseen labels in new training batches. The classification experiments show that the proposed method achieves the same level of classification accuracy as batch learning while the computational cost is significantly reduced, and it can outperform other incremental SVM approaches for the new class problem.

关键词： Training Support vector machines Training data Kernel databases Vectors Accuracy

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