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检索条件"主题词=filtering algorithms"

共 10310 条记录，以下是91-100 订阅

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Implementation of depth map filtering algorithms on mobile-specific platforms

Implementation of depth map filtering algorithms on mobile-s...

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Olli Suominen Sumeet Sen Sergey Smirnov Atanas Gotchev Tampere University of Technology Finland

The paper addresses the problem of implementing depth map filtering algorithms optimized for mobile platforms. Main algorithm being targeted is the bilateral filter and its implementation on a mobile platform1 has been studied. Furthermore, an alternative approach of using OpenCL to control a graphics accelerator 2 is explored. Experimental results of the latter look quite positive.

关键词： Histograms Graphics processing unit Mobile communication filtering algorithms filtering Digital signal processing Image color analysis

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Comparison of the KF and particle filter based out-of-sequence measurement filtering algorithms

Comparison of the KF and particle filter based out-of-sequen...

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International Conference on Information Fusion

作者： M. Mallick A. Marrs ORINCON Defense San Diego CA USA QinetiQ Limited Malvern Worcestershire UK

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Efficient 2D FIR filtering algorithms based on overlapped block structure

Efficient 2D FIR filtering algorithms based on overlapped bl...

引用

Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Ing-Song Lin S.K. Mitra Chung-Shan Institute of Sciences and Technology Taiwan Department of Electical and Computer Engineering University of California Santa Barbara USA

The concept of overlapped block digital filtering is extended to two-dimensional (2D) case. The shift-invariant conditions of 2D overlapped block digital filters are derived. Fast algorithms based on short-length linear convolution algorithms and DFT are then derived. These algorithms are computationally efficient and highly parallel.

关键词： Finite impulse response filter filtering algorithms Digital filters Convolution Concurrent computing Transfer functions Delay Interleaved codes

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Fast FIR filtering algorithms based on overlapped block structure

Fast FIR filtering algorithms based on overlapped block stru...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： I.-S. Lin S.K. Mitra Department of Electrical and Computer Engineering University of California Santa Barbara USA

The concept of overlapped block digital filtering is introduced, and the conditions for shift-invariant operation are derived. Two special types of overlapped block structures which can be used to realized finite impulse response (FIR) filters are discussed. Their efficient implementation based on fast short-length linear convolution algorithms and discrete Fourier transform (DFT) are described.< >

关键词： Finite impulse response filter filtering algorithms Digital filters Transfer functions Discrete Fourier transforms Convolution Nonlinear filters Parallel processing Concurrent computing Quantization

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Two digital filtering algorithms for fast estimation of symmetrical components in power system: a static estimation approach

Two digital filtering algorithms for fast estimation of symm...

引用

Conference on Power Engineering Large Engineering Systems (LESCOPE)

作者： S.A. Solimann M.A. Mostafa M.A. El-Hawary A.M. Al-Kandari Dept. of Electr. Eng. Qatar Univ. Doha Qatar Elect. Power and Machines Dept. Ain Shams University Cairo EGYPT Electrical and Computer Engineering Dept. DalTech@ Dalhousie University Halifax Nova Scotia Canada

This paper presents the application of two digital filters working together for fast estimation of the system symmetrical components. The three-phase unbalanced system is transformed into /spl alpha//spl beta/-transformation. Using such a transformation, harmonics of order 3 and their multiples can be eliminated from the input signal. Having identified the two-phase voltage, the positive and negative sequence phase voltage can be calculated using a constant transformation matrix as well. The zero sequence is easily estimated by averaging the unbalanced three-phase voltage at any sample instant. The least error square algorithm is the parameter estimation algorithm used to identify the magnitude and phase angle of each sequence component from the available samples of the specified component.

关键词： filtering algorithms Power systems Voltage Signal processing algorithms Power system protection Power system modeling Digital filters Power system harmonics Observers Power harmonic filters

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Antenna Arrays Calibration Using Recursive Least Squares Adaptive filtering algorithms Based on Inverse QR Decomposition

Antenna Arrays Calibration Using Recursive Least Squares Ada...

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East-West Design & Test Symposium (EWDTS)

作者： Victor Djigan Vladislav Kurganov Department of Integrated Circuits Design Methodology Institute for Design Problems in Microelectronics of RAS Moscow Russia Institute of Microdevices and Control Systems National Research University of Electronic Technology Moscow Russia

ISBN: (数字)9781728198996

ISBN: (纸本)9781728199009

This paper considers the antenna arrays calibration by the using of the Recursive Least Squares (RLS) adaptive filtering algorithms. An algorithm, based on the inverse QR decomposition, has been selected among the diversity of the RLS algorithms. This is caused by its stable operation. Because the algorithm contains the computationally heavy square root operations, a square root free version of the algorithm is also presented. Both versions of the QR RLS algorithms are mathematically identical to each other if they operate in float point arithmetic. The proposed calibration can be used in the antenna arrays with digital beamforming, because the algorithms usage requires the access to the array channel signals. The calibration requires a known training signal, which can be easily provided not only in a laboratory environment, but also in a field operation, if an array is used as a directional antenna of the digital communication system equipment. In the second case, the calibration can be also conducted even in the presence of the interference signal sources. Simulation validates the proposed calibration algorithm, using linear antenna arrays with 4, 8 and 16 antennas with a half wavelength distance between the neighbor antennas. In this simulation, the array channel noise has been varied in 0 ... 30 dB range of the Signal-to-Noise Ratio. Two interference sources with the -30 dB Signal-to-Interference Ratio each have been simulated. These sources were located symmetrically relatively the required main lobe direction of the array radiation pattern. A training signal has been simulated as a random one with no specific autocorrelation properties. The signal has been modulated by the Phase Shift Keying (PSK) and the Quadrature Amplitude Modulation.

关键词： Calibration Interference filtering algorithms Signal processing algorithms Matrix decomposition Correlation Array signal processing

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Intelligent filtering algorithms for networked simulators

Intelligent filtering algorithms for networked simulators

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IEEE International Conference on Systems, Man and Cybernetics

作者： M. Bassiouni H. Williams M. Loper Computer Science Department University of Central Florida Orlando FL USA Computer Engineering Department University of Central Florida Orlando FL USA Institute of Simulation & Training University of Central Florida Orlando FL USA

Data filtering is an important mechanism that can be used to achieve the real-time linkage among geographically distant local area network (LAN) sites. Two approaches for implementing data filtering within simulation networks, namely, filtering at reception and filtering at transmission, are described. filtering at reception requires all frames to be transmitted onto the network backbone and later filtered by each receiving gateway to select those frames that are pertinent to the nodes served by this gateway. filtering at transmission requires that frames originated by a node at a local network are filtered at the local gateway and are sent to other gateways only if they carry information relevant to other external nodes.< >

关键词： Intelligent networks filtering algorithms Vehicles Computational modeling Computer simulation Local area networks Telecommunication traffic Intelligent sensors Computer networks Couplings

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Investigation on nonlinear filtering algorithms for GPS

Investigation on nonlinear filtering algorithms for GPS

引用

IEEE Symposium on Intelligent Vehicle

作者： X. Mao M. Wada H. Hashimoto Institute of Industrial Science University of Tokyo Meguro Tokyo Japan PRESTO Japan Science and Technology Agency Meguro Tokyo Japan

Presents the results obtained in our research about application of modern nonlinear filtering techniques to GPS based position estimation. The stand-alone GPS based position estimation problem using GPS pseudo-range and Doppler shifts measurements are described. A model for position and velocity estimation are developed. The model is nonlinear and has variable measurement number for coping with an arbitrary number of satellites. Over the last 20-30 years, the extended Kalman filter (EKF) has become the algorithm of choice in numerous nonlinear estimation and machine learning applications. In this work the use of an alternative filter: the unscented Kalman filter (UKF) is proposed. The first experimental results that comprise the comparison of estimation results obtained with a simple model using different filters are then presented. Future research directions are also discussed.

关键词： filtering algorithms Global Positioning System Nonlinear filters Satellite broadcasting Delay estimation Clocks Iterative algorithms Satellite navigation systems Doppler shift Machine learning algorithms

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Fourier and Walsh digital filtering algorithms for distance protection

Fourier and Walsh digital filtering algorithms for distance ...

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Power Industry Computer Application Conference (PICA)

作者： H.J. Altuve F. I. Diaz V. E. Vazquez M. Programa Doctoral en Ingenieria Eléctrica Universidad Autónoma de Nuevo León San Nicolas de los Garza Nuevo Leon Mexico

filtering requirements for power system distance relays are very critical, because they must estimate precisely and quickly the electrical distance to the fault, even with highly distorted input signals. A number of digital filtering algorithms for distance relays have been proposed and some of them are in use in practical relays; however, power system evolution increases the corruption level of signals and imposes the necessity of continuing the research efforts in this area. In the present paper, a comparative evaluation of different digital filtering algorithms for distance protection is performed. An evaluation method is proposed, which gives comprehensive information about filter transient behavior over a wide frequency range of noise. The discussion is focused in well-known algorithms based on Fourier and Walsh transforms, and includes a recently proposed combined sine-cosine filter.

关键词： filtering algorithms Power system relaying Protective relaying Power system faults Power system protection Power system transients Power filters Distortion Digital relays Performance evaluation

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Signal filtering algorithms in continuous-time systems with uncertain observations

Signal filtering algorithms in continuous-time systems with ...

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Sensor Array and Multichannel Signal Processing Workshop

作者： S. Nakamori A. Hermoso-Carazo J. Jimenez-Lopez J. Linares-Perez Department of Technology Kagoshima University Kagoshima Japan Dpto. de Estadística e I.O Universidad de Granada Granada Spain Dpto. Estadística e I.O. Universidad de Jaén Jaén Spain

We analyze the least mean-squared error linear filtering problem of a continuous-time wide-sense stationary scalar signal from noisy observations which, in a random way, can consist of signal plus noise or only noise. We assume that the signal is a linear function of the components of the state-vector, and only the system matrix in the state-space model and the crosscovariance function of the state and signal are known. Under the hypothesis that the Bernoulli variables modelling the uncertainty in the observations are independent, with known constant probability of each observation contains signal, we obtain two filtering algorithms to solve this problem: one of them is based on Chandrasekhar-type differential equations and, the other, on Riccati-type ones. The comparison of both algorithms shows that the Chandrasekhar-type one is computationally better than the Riccati-type one. The theoretical results are illustrated by a numerical simulation example.

关键词： filtering algorithms Riccati equations Signal processing algorithms Maximum likelihood detection Uncertainty Differential equations Numerical simulation Signal analysis Communication systems Random variables

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