adaptive minimum variance beamforming
On Linearly Constrained Minimum Variance Beamforming
... and adaptive thresholding, we again generated 30 data sets from model ...and adaptive thresholding-based covariance estimators can improve the hard thresholding- based covariance estimator in terms of ...
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Wideband Transmitting Adaptive Digital Beamforming Based on Sub-Band Multiple Linear Constrained Minimum Variance Method
... transmitting adaptive digital beamforming (ADBF) scheme with nulls in the direction of ...the minimum variance criterion with multiple linear constraints to form the sub-band transmit ...
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Iterative robust adaptive beamforming
... The minimum variance distortionless response (MVDR) beamformer is capable of maximizing the output signal to interference-plus-noise ratio ...the minimum power distortionless response (MPDR) ...
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Plane wave imaging combined with eigenspace-based minimum variance beamforming using a ring array in ultrasound computed tomography
... Minimum variance is the most commonly used adaptive beamforming method. Instead of being added up easily as in the delay-and-sum (DAS) method, the signals from differ- ent elements have ...
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A Review on Beamforming Techniques in Wireless Communication
... the beamforming of smart antennas in wireless communication ...of adaptive beamforming algorithms are presented in this research ...then beamforming techniques like Side Lobe Cancellers, ...
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Short-lag spatial coherence imaging using minimum variance beamforming on dual apertures
... method is conceptually different. Unlike the conventional B-mode MV beamformers with a CF-based postfilter, it is still an SLSC imaging scheme which adopts the MV algorithm for adaptive aperture synthesizing. ...
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Modeling and Simulation of Adaptive Beamforming for Mobile Communication
... Beamforming is used for enhancing a desired signal while suppressing noise and interference at the output of an array of sensors [1]. The linear constraint minimum variance (LCMV) beamformer is one ...
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Minimum Variance Ultrasonic Beamforming Implemented on High Performance Desktop and Embedded GPUs
... MV beamforming algorithm is developed based on the DAS beamforming algorithm ...MV beamforming algorithm uses apodization weights adaptive to input ultrasound data, while DAS ...
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Application of Particle Swarm Optimization in Linear Constraint Minimum Variance Beamforming Technique
... the beamforming method which can solve the limitation of bandwidth (Balasem et ...2009). Adaptive antenna (Compton 2011, Balasem et ...2007). Beamforming technique that is completed by signal ...
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Adaptive Minimum Bit Error Rate Beamforming Assisted QPSK Receiver
... for 1 ≤ l ≤ L, where t l (θ i ) is the relative time delay at el- ement l for source i, θ i is the direction of arrival for source i, and n l (k) is a complex white Gaussian noise with zero mean and variance E[|n ...
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Adaptive broadband beamforming with arbitrary array geometry
... Narrowband beamforming has been very extensively addressed over the past three decades, and many robust algorithms exist that offer optimality in various ...as minimum variance distortionless ...
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AN APPROXIMATION OF THE MINIMUM-VARIANCE ESTIMATOR OF HERITABILITY BASED ON VARIANCE COMPONENT ANALYSIS
... was the estimate of heritability significantly different from expectation for the parameter set with lowest heritability and population size. Constraining the estimates [r] ...
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Sensitivity Analysis of Minimum Variance Portfolios
... This article is inspired by the previous work of Best and Grauer in 1991 ([1]). They assume an investor is bullish or bearish on some security while another investor is not, which means they have di ff erent beliefs of ...
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High dimensional Global Minimum Variance Portfolio
... Abstract: This paper proposes the spectral corrected methodology to estimate the Global Minimum Variance Portfolio (GMVP) for the high dimensional data. In this paper, we analysis the limiting properties of ...
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Comparison of Adaptive Vibration Control Techniques for Smart Structures using Virtual Instrumentation software LAB-VIEW
... parameters. Adaptive versions of Minimum Variance Controller (MVC), Pole Placement Controller (PPC) and Linear Quadratic Controller (LQC) are applied in the present work for vibration suppression of ...
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An efficient scheme for broadband adaptive beamforming
... Subband Adaptive Beamforming Structure The proposed subband adaptive beaIrifornier SAB st,ructure decomposes each sensor signal x,, [71] by means of an analysis filter bank, and applies [r] ...
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Performance Analysis of Adaptive Beamforming Techniques
... The adaptive beamforming algorithm x(t) is received signal by multiple array antenna with multiply respective weight ...used; adaptive LMS algorithm used 2L complex iteration and 2L+1 complex ...The ...
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ON A PARAMETER ADAPTIVE SELF-ORGANIZING SYSTEM WITH THE MINIMUM VARIANCE CONTROL LAW IN THE PRESENCE OF LARGE OUTLIERS IN OBSERVATIONS
... a minimum variance control (MVC) approach for a closed- loop discrete-time linear time-invariant (LTI) system when the parameters of a dynamic system as well as that of a controller are not known and ought ...
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GMV Control (Generalized Minimum Variance)
... oscillatory open loop behaviour (poles located near the border of stability region).[r] ...
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An Approximate Algorithm for Robust Adaptive Beamforming
... for adaptive array pro- cessing where the maximum processing time is ...the adaptive computation algorithm by applying second-order Taylor series approximations to the nonlinear ...the adaptive ...
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