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检索条件"主题词=array signal processing"

共 23718 条记录，以下是51-60 订阅

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Microphone array signal processing for far-talking speech recognition 3

Microphone array signal processing for far-talking speech re...

引用

3rd IEEE Workshop on signal processing Advances in Wireless Communications (SPAWC 01)

作者： Chien, JT Lai, JR Lai, PY Natl Cheng Kung Univ Dept Comp Sci & Informat Engn Tainan 70101 Taiwan

ISBN: (纸本)0780367200

This paper presents a combined microphone array and model adaptation algorithm for distant speech recognition. We aim at resolving the inconvenience of using head-mounted/hand-holding microphone in conventional speech recognizer. To improve the distant speech quality, a linear microphone array is applied and acted as robust acquisition system. We develop a time-domain coherence measure (TDCM) to precisely detect time delay of speech signals collected by different microphones. The estimated delay is adopted in a delay-and-sum beamformer for speech enhancement. Further, we adapt the speech hidden Markov models to get close to the acoustic condition of enhanced test speech for robust speech recognition. In acquisition and recognition experiments on connected Chinese digits, we find that TDCM can estimate the time delay as precise as that calculated assuming the speech source direction is known. The increase of speech sampling rate is helpful to determine time delay. Also, the incorporation of model adaptation scheme can significantly reduce the recognition errors with moderate computation overhead.

关键词： Adaptation model array signal processing Delay effects Delay estimation Microphone arrays Robustness signal processing algorithms Speech enhancement Speech processing Speech recognition

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Coupled Tensor Decompositions for Applications in array signal processing

Coupled Tensor Decompositions for Applications in Array Sign...

引用

5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive processing (CAMSAP)

作者： Sorensen, Mikael De Lathauwer, Lieven Katholieke Univ Leuven EE Dept ESAT STADIUS Ctr Dynam Syst Signal Proc & Data Analyt Kasteelpk Arenberg 10 B-3001 Leuven Heverlee Belgium KU Leuven Kulak Grp Sci Engn & Technol B-8500 Kortrijk Belgium

ISBN: (纸本)9781467331463;9781467331449

For the case of a single colocated receive antenna array and additional linear diversity (e.g. oversampling or polarization), tensor decomposition based signal separation is now well-established. For increasing the spatial diversity of communication systems, the use of several widely separated colocated antenna arrays has been suggested. However, for such problems no algebraic framework has been proposed. We explain that recently developed coupled tensor decompositions provide such a framework. In particular, we explain that the use of several widely separated colocated antenna arrays may lead to improved identifiability results.

关键词： Antenna arrays array signal processing Tensor Source separation Oversampling COMMUNICATION SYSTEMS Frameworks Receiving antennas spatial diversity

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LOW-RANK MATRIX COMPLETION FOR array signal processing

LOW-RANK MATRIX COMPLETION FOR ARRAY SIGNAL PROCESSING

引用

IEEE International Conference on Acoustics, Speech and signal processing

作者： Weng, Zhiyuan Wang, Xin SUNY Stony Brook Dept Elect & Comp Engn Stony Brook NY 11794 USA

ISBN: (纸本)9781467300469

In this paper, we propose the application of low-rank matrix completion techniques for array signal processing. Specifically, under the assumption that the number of targets is generally much smaller than the number of antennas, the received signals can form a low-rank matrix with noise. According to the recently proposed matrix completion theory, only a subset of the entries are enough to recover the whole matrix as long as certain conditions are met, thus the implementation cost of obtaining a matrix could be reduced. We prove that the matrix formed by the received signals satisfies the condition for matrix recovery. Moreover, a uniform spatial sampling (USS) method is proposed, which is easy for hardware implementation and also could take advantage of the available number of front-end elements to achieve a better performance. We analytically prove that the probability of matrix recovery failure under the USS model is asymptotically equal to that under the Bernoulli model. Simulation results demonstrate that the matrix recovery performance under the USS model is very close to that using the uniform model.

关键词： Matrix completion array signal processing

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Research on impact localization in composite materials using array signal processing and Lamb wave

Research on impact localization in composite materials using...

引用

International Conference on Multi-Functional Materials and Structures Engineering (ICMMSE 2011)

作者： Su Yongzhen Liu Xinwen Li Dayu Wang Xinbing Zhang Yuheng Air Def Forces Command Acad Zhengzhou 450052 Peoples R China

ISBN: (纸本)9783037852002

Impact localization is one of the major concerns in maintenance of aircraft structures built from composites. A lot of different techniques like acoustic emission, optimization technique based on system are nowadays investigated to identify impact location. But the method to identify impact position in complex composite structure with high accuracy in real time has not been completely established. In the present work, a new efficient method is proposed for identifying impact location in real and complex composite structure based on array signal processing and Lamb waves. There are two steps in the proposed method. The first step is to estimate the direction-of-arrival (DOA) of impact source using continuous wavelet transform (CWT) and array signal processing;the second step is to estimate the distance between impact source and the coordinate origin based on propagation characteristic of Lamb wave and CWT. The composite panel with stepped thickness of a real and complex aeronautical tank is used to verify the present methodology. The result shows that the present method may identify impact location fast and accurately.

关键词： array signal processing impact localization Lamb wave composite

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Narrow band source separation in wide band context applications to array signal processing

Narrow band source separation in wide band context applicati...

引用

IEEE signal processing Workshop on Higher-Order Statistics

作者： Galy, J Adnet, C Chaumette, E E.N.S.I.C.A Toulouse France

ISBN: (纸本)0818680067

Blind source separation is now a well known problem. Various methods have been proposed for instantaneous and convolutive mixtures of sources. Conventional antenna array processing techniques are based on the use of second order statistics but rest on restrictive assumptions. Thus, when a priori informations about the propagation or the geometry of the array are not available, the model can be generalized to a blind sources separation model. It supposes the statistical independence of the sources and their non-gaussianity. In this paper, we focus on the narrow band source separation problem embedded in wide band jammers. We show that JADE algorithm [1] made for instantaneous mixture is still valid in a wide band context where only the signals of interest are narrow-band. We also prove that a wide band signal tends to occupy all the degrees of freedom of the covariance matrix and modifies the signal subspace dimension.

关键词： Source separation Narrowband broadband signal subspace variance covariance matrix Blind source separation array signal processing Antenna arrays signal processing

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High-resolution phased array signal processing via DFT Beamspace TLS-ESPRIT with structure weighting 6

High-resolution phased array signal processing via DFT Beams...

引用

IEEE International Symposium on Phased array Systems and Technology

作者： Vasylyshyn, VI Kharkov Air Force Inst UA-61165 Kharkov Ukraine

ISBN: (纸本)078037827X

A new algorithm, DFT Beamspace TLS-ESPRIT with structure weighting is presented. The proposed algorithm provides closed-form estimates of the directions-of-arrival (DOAs) of signals impinging on a Uniform Linear array (ULA). DFT Beamspace TLS-ESPRIT with structure weighting outperforms DFT Beamspace TLS-ESPRIT in terms of estimation accuracy, mainly at small and mean values of SNR, and conserves the low computational complexity of the latter algorithm. Improvement of performance is conditioned by exploiting structure (row) weighting method. Distinctions in realization of structure weighting in beamspace as compared to element space are noted. The performance of the proposed algorithm is evaluated by computer simulation, verifying its statistical efficiency.

关键词： direction-of-arrival estimation computational complexity invariance discrete Fourier transforms array signal processing signal resolution structure weighting TLS-ESPRIT DFT beamspace phased array signal processing directions-of-arrival estimation uniform linear array signal parameters estimation discrete Fourier transform rotational invariance techniques

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Partial discharges multi-targets localization in power transformers based on array signal processing

Partial discharges multi-targets localization in power trans...

引用

IEEE Region 10 Conference (TENCON 2005)

作者： Luo Ri-cheng Li Wei-guo Li Cheng-rong Wuhan Univ Sch Elect Engn Wuhan 430072 Peoples R China North China Elect Power Univ High Voltage & Electromagnet Compatibil Lab Beijing Peoples R China

ISBN: (纸本)9780780393110

A new partial discharges multi-targets localization method is presented in this paper, which is based on array signal processing. Two ultrasonic sensor arrays are located on the inner wall of the transformer tank and detect the ultrasonic signal emitted by the partial discharge sources. Spatial spectrum estimation technique is used in analyzing the signal characteristic information (number of signals, direction-of-arrivals et al) and the number of partial discharge signal estimation, direction-of-arrival estimation and distance estimation are accomplished. The performance of localizations is given by computer simulations. It shows that the method processes with high resolution and good estimated accuracy and can effectively estimate the location parameter of multiple partial discharge sources in transformer.

关键词： power transformer partial discharge array signal processing spatial spectrum estimation multi-targets localization

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Estimation of local displacement vector in random medium utilizing synthetic aperture array signal processing

Estimation of local displacement vector in random medium uti...

引用

24th Symposium on Ultrasonic Electronics (USE2003)

作者： Minochi, Y Yagi, S Nishiyama, T Meisei Univ Grad Sch Informat Sci Med Imaging Lab Tokyo 1980052 Japan

Real-time imaging of dynamical movement or stress distribution across living tissues by physiological internal or clinical external stress forces could be a promising toot for clinical diagnosis as visualized palpation. However,. the transversal components of tissue local motion across an ultrasonic beam cannot be obtained utilizing conventional beam scanning. We proposed the combined algorithm of phase sensitive spatial cross-correlation between two sequential speckle echo frames and signal processing for a synthetic aperture of an array transducer which realizes a uniform spatial resolution through, these echo frames. The two-dimensional local motion vector can be directly calculated from the sequentially estimated local phase changes by successive irradiation of different point sources. The accuracy and the statistical variance of the estimated two-dimensional displacement were investigated for the simulated random tissue and the received speckle echo frames from it. The obtained results showed the excellent performance of the proposed algorithm, both for local values and for the entire distribution of estimated displacement vectors throughout the measured medium.

关键词： displacement vector synthetic aperture array signal processing random medium spatial cross-correlation phase difference beam scanning

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Experimental array signal processing Demonstration System by Utilizing Microphone array

Experimental Array Signal Processing Demonstration System by...

引用

CIE International Conference on Radar (RADAR)

作者： Sun, Yuze Yang, Xiaopeng Guo, Liyong Long, Teng Beijing Inst Technol Beijing Key Lab Embedded Real Time Informat Proc Sch Informat & Elect Beijing Peoples R China

ISBN: (纸本)9781509048281

Adaptive array signal processing is widely used in radar, communication, sonar, navigation and other signal processing applications. Practical experimental verification is important to evaluate the performance of array signal processing methods. However, the conventional experimental verification for adaptive array signal processing are often conducted with massive radio frequency equipments, which leads to high cost and huge complexity. Therefore, it is necessary to construct an experimental demonstration system with low cost and high flexibility, which can conveniently verify the performance of adaptive array signal processing methods. In this paper, an experimental adaptive array signal processing demonstration system by utilizing the microphone array is proposed, and corresponding experiments of DOA estimation and adaptive beamforming are conducted based on the proposed microphone array system in different environment. Compared with traditional radio frequency system, it is found that the designed system can reduce the experimental cost and complexity of adaptive array signal processing verification.

关键词： array signal processing microphone array DOA adaptive beamforming

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Interference Mitigation in GNSS Receivers by array signal processing: A Software Radio Approach

Interference Mitigation in GNSS Receivers by Array Signal Pr...

引用

8th IEEE Sensor array and Multichannel signal processing Workshop (SAM)

作者： Arribas, Javier Closas, Pau Fernandez-Prades, Carles CTTC Castelldefels 08860 Spain

ISBN: (纸本)9781479914814

The fact that most of high-accuracy positioning and distributed timing services, including safety-critical operations, rely on Global Navigation Satellite Systems (GNSS) has raised the concern of possible denial-of-service situations. Complementary to time-and frequency-domain mitigation techniques, it is well known that antenna-array based receivers can benefit from spatial domain processing and effectively mitigate unintentional and intentional Radio Frequency Interferences (RFIs). In this work, we propose a software-based GNSS receiver architecture that implements a real-time, array-based signal acquisition algorithm based on the Generalized Likelihood Ratio Test, combined with a null-steering spatial filter for signal tracking, showing its RFI rejection capabilities.

关键词： disturbance suppression likelihood ratio test Global Navigation Satellite System Receivers Software radio Spatial filters array signal processing precise registration

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