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Adaptive edge-preserving filter for CMOS image sensor cross-talk compensation

Adaptive edge-preserving filter for CMOS image sensor cross-...

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12th ieee Digital signal processing workshop/4th ieee signal processing Education workshop

作者： Chiu, Shang Kai Lin, Chih Yuan Lu, Meng Lin Chang, Chien Wen Hsiao, Dennis Winbond Elect Corp Hsinchu Taiwan

ISBN: (纸本)1424405343

this paper presents an Adaptive Edge-Preserving Filter (AEPF) to remove the pixel cross-talk phenomenon of CMOS image sensor. As is widely known, the pixel crosstalk is due to the optical, electrical and architectural interferences and leads to the blocky formation after color interpolation. Although the conventional algorithms [1][2] can eliminate the blocky formation, the edge false colors are also induced to degrade the image quality accordingly. therefore, the AEPF is proposed to eliminate the blocky formation and to prevent the generation of edge false colors. Experimental results revealed that the AEPF can effectively remove the pixel cross-talk effect and result in good image quality without blocky formation and edge false colors.

关键词： pixel cross-talk image sensor false color

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multichannel blind identification from noisy sensor array observations: A stochastic realization approach 7

Multichannel blind identification from noisy sensor array ob...

引用

7th ieee SP workshop on Statistical signal and array processing, SSAP 1994

作者： Fijalkow, I. Loubaton, Ph. Cornell University Department of Electr. Eng. United States Telecom Paris Dept. Signal France

Subspace methods for blind multichannel identification can not be extended to the case of a non white noise. For an unknown temporally white but spatially correlated perturbation, we pr+ pose a method based on a stochastic realization approach. It relies on the fact that the observed signal spectral density matrix is the sum of a rational rank 1 spectral density and of a constant positive definite matrix (the noise Covariance matrix). the generic unicity of this decomposition is shown. An identification method based on the parametrization of the (external) stochastic realizations of the observed signal whose innovation sequence has a prescribed dimension is developped. It results in a state-space realization of the multichannel transfer function and in the noise covariance matrix. © 1994 ieee.

关键词： Spectral density

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MIMO radar signal processing for distributed phased arrays

MIMO radar signal processing for distributed phased arrays

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2011 4th ieee International workshop on Computational Advances in Multi-sensor Adaptive processing, CAMSAP 2011

作者： Fuhrmann, Daniel R. Department of Electrical and Computer Engineering Michigan Technological University Houghton MI 49931 United States

ISBN: (纸本)9781457721052

We explore transmit signaling and receive signal processing strategies for a notional MIMO radar system consisting of widely distributed phased arrays. the assumptions are that within a phased array, there is a fixed rigid geometry and perfect phase synchronization, and there is a single look at the target. In constrast, between phased arrays there is imperfect phase synchronization and multiple views of the target. the relative advantages and disadvantages of coherent and orthogonal signaling in such a model are explored through simulation. © 2011 ieee.

关键词： MIMO radar

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Blind multichannel identification in the stationary colored noise case

Blind multichannel identification in the stationary colored ...

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9th ieee signal processing workshop on Statistical signal and array processing (SSAP98)

作者： Ayadi, J Slock, DTM Inst EURECOM F-06904 Sophia Antipolis France

ISBN: (纸本)0780350103

We investigate a new approach to identify a multichannel blindly when the additive noise is no longer considered as white but only stationary, We consider the case when the multiple FIR channels are obtained from an array of n antennas and from oversampling the received signal with a factor m. In this case the covariance matrix of the stationary noise is block Toeplitz with n x n blocks, whereas the covariance matrices of the signal part and the total received signal are block Toeplitz with mn X mn blocks, In this paper, we shall mainly concentrate on a subspace method based on an appropriate displacement of the covariance matrix in which the noise contribution disappears. the technique developed-appears to give acceptable performance for the channel estimate, compared to the Cramer-Rao bound. Furthermore, since the proposed method is based on a parameterization in terms of the channel impulse reponse, prior knowledge of the transmission filter can easily be incorporated [4]. the method mentioned previously can be extended to exploit this knowledge and hence its performance can be improved. Simulations are presented to illustrate the performance of the method.

关键词： signal processing

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Method for Monitoring Hydraulic Coke Removal Using Cylindrical array Fiber Acoustic sensors 4

Method for Monitoring Hydraulic Coke Removal Using Cylindric...

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4th ieee International Conference on signal and Image processing (ICSIP)

作者： Mao, Yan Xu, Xiaoqiang Wuhan Univ Technol Sch Automat Wuhan Peoples R China

ISBN: (纸本)9781728136608

We demonstrated an on-line monitoring method for hydraulic coke removal when refining petroleum based on the feature extraction of collision sound using cylindrical array fiber acoustic sensors, which are installed around the oil refinery coke drum. Twenty optical fiber Fabry-Perot (F-P) acoustic sensors with high sensitivity and anti-electromagnetic interference can simultaneously monitor the vibration signal in the coke drum. the subsequent signal processing circuit analyses the change regulation of the signal intensity and the characteristics of the fast Fourier transform (FFT) spectrum. When the signal intensity of the closed acoustic sensor reaches the maximum and the main frequency of the FFT spectrum suddenly changes in order of priority, it can be estimated that the coke has been completely removed. the experimental results show that the cylindrical array fiber sensor group can satisfy the harsh working environment in which petroleum is refined and simplifies the signal processing for calculating the thickness of coke.

关键词： fiber optic acoustic sensor Fabry-Perot cavity petroleum refining industrial process monitoring cylindrical array

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Optimum microphone array for monaural and binaural in-the-canal hearing aids

Optimum microphone array for monaural and binaural in-the-ca...

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2011 4th ieee International workshop on Computational Advances in Multi-sensor Adaptive processing, CAMSAP 2011

作者： Ayllon, David Gil-Pita, Roberto Rosa-Zurera, Manuel Applied Signal Group University of Alcala Alcalá de Henares Madrid Spain

ISBN: (纸本)9781457721052

Modern hearing aids include signal processing algorithms to improve the speech intelligibility by means of a microphone array, which can be monaural or binaural. In both cases, the signals are distorted by the well-known head-shadow effect that must be considered in the design. the main goal of this paper is to find the best microphone array configuration for in-the-canal hearing aids, constrained by the reduced dimension of such devices, in order to maximize the output gain and intelligibility when the array is steered to the desired direction. For this purpose, a total of 12 different array arrangements are compared, in terms of the array gain and intelligibility obtained by a Minimum Variance Distortionless Response (MVDR) beamformer, which also considers the head-shadow effect. the highest gain and intelligibility are obtained by a binaural array composed by a total of 8 microphones, 4 in diamond-shaped alignment in each ear. the results show the level of improvement achieved by increasing the number of microphones as well as using binaural arrays, giving rise to a compromise between the complexity of the array and the desired enhancement. © 2011 ieee.

关键词： Hearing aids

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An iterative algorithm for the compensation of Toeplitz mutual coupling in uniform and linear arrays

An iterative algorithm for the compensation of Toeplitz mutu...

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12th ieee Digital signal processing workshop/4th ieee signal processing Education workshop

作者： Sellone, Fabrizio Serra, Alberto Politecn Torino Dipartimento Elettron Turin Italy

ISBN: (纸本)1424405343

this paper proposes a novel iterative algorithm to compensate for mutual coupling in uniform and linear arrays. It is designed with the aim of simultaneously compensating for mutual coupling and estimating the DOAs of impinging signals on the array. An iterative alternating minimization technique based on closed form solutions is performed to estimate the calibration matrix in the field of complex symmetric Toeplitz matrices. Unlike other calibration methods it does not require neither calibration sources, nor a rough estimate of the calibration matrix for initialization. Computer simulations show the effectiveness of the proposed technique and prove that the nice statistical properties of classical super-resolution DOA estimation algorithms can be restored despite the presence of mutual coupling.

关键词： uniform and linear arrays antenna array mutual coupling direction of arrival estimation calibration

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Recent advances in the theory and application of predictive-transform space-time array processing 7

Recent advances in the theory and application of predictive-...

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7th ieee SP workshop on Statistical signal and array processing, SSAP 1994

作者： Guerci, J.R. Feria, E.H. Grumman Corporation Corporate Research Center Signal Processing Laboratory BethpageNY11714 United States City University of New York College of Staten Island Department of Applied Sciences Staten IslandNY10314 United States

A comprehensive predictive-transform (IT) space-time sensor array processor is presented which optimally integrates two distinct sensor array processing strategies, viz., optimum multichannel sidelobe cancellation ("prediction") and optimum beamforming ("transformation"). the crux of the technique is the utilization of a multichannel "whitening" model, obtained from a previously developed PT signal modeling procedure. As with previous PT applications, such as in coding and estimation. the synergistic effect of the prediction and transformation mechanisms provide additional means for reducing both design and implementation complexity while gradually trading off performance-as measured by the degree of clutter cancellation for the application considered herein. In addition to a discussion of recent theroretical advancements, the PT approach is illustrated via an application to adaptive airborne MTI radar employing an eight element phased m y antenna operathg in Rayleigh distributed clutter. New space-time processing architectures are suggested which represent improvments over existing hybrid processing strategies, such as single channel optimal MTI followed by optimum beamforming. © 1994 ieee.

关键词： array processing

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Spatially-spread sources and the SMVDR estimator 4

Spatially-spread sources and the SMVDR estimator

引用

4th ieee workshop on signal processing Advances in Wireless Communications (SPAWC)

作者： Xu, XL George Mason Univ Ctr Excellence Command Control Commun & Intellige Fairfax VA 22030 USA

ISBN: (纸本)078037858X

A novel algorithm called Spread Minimum Variance Distortionless Response (SMVDR) algorithm is proposed in this paper for the problem of parameter estimation of spatially-spread sources. Traditional estimation techniques have been designed only for point sources. Each point source travels along a single path to an antenna array. However, in wireless communications, a source with multipath propagation is spatially spread from one direction to another direction around nominal direction-of-arrival (DOA). therefore, the traditional estimation techniques which are based on point source assumption may result in serious performance degradation. Numerical experiments for the case of one Gaussian source have shown that SMVDR exhibits better performance than the subspace-based algorithms for spatially-spread source parameter estimation. SMVDR is more computationally efficient than the subspace-based algorithms too. However, SMVDR can not reach the Cramer-Rao bound (CRIB) in the example. Recall that the subspace-based methods do not reach the CRB either.

关键词： direction-of-arrival estimation Gaussian processes array signal processing minimisation multipath channels radiocommunication spatially spread sources SMVDR estimator spread minimum variance distortionless response parameter estimation wireless communications multipath propagation DOA estimation direction-of-arrival estimation Gaussian source array signal processing performance Cramer-Rao bound

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multichannel system identification methods for sensor array calibration in uncertain multipath environments

Multichannel system identification methods for sensor array ...

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11th ieee workshop on Statistical signal processing (SSP 2001)

作者： Varadarajan, V Krolik, JL Duke Univ Dept Elect & Comp Engn Durham NC 27708 USA

ISBN: (纸本)0780370112

this paper concerns the problem of estimating the array element relative gain and phase responses using sources of opportunity in an uncertain multipath environment. Unlike previous methods, which assume uncorrelated source wavefronts, we propose to perform calibration in a correlated multipath environment. We present two algorithms that apply traditional blind, single input multiple output (SIMO) methods to the array calibration problem. Calibration is performed by discriminating the received components which remain the same for all sources and are thus due to the receiver gains and phases. Simulation results demonstrate the effectiveness of both techniques in terms of reduced sidelobe levels.

关键词： Communication channels (information theory)

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