In the paper, the method of measuring and assessing of steering systems with the help of test benches with HILS technology implementation is justified in part of the adaptive algorithms of the regulation of the assist...
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Current developments illustrate the need for resilient value creation. However, the former persistent trend of constantly changing production environments also requires adaptive and self-learning tools. Although digit...
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The work is devoted to the study of the possibilities provided by modern neural networks in image processing for solving the problem of monitoring the state of steel and reinforced concrete structures. The paper prese...
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A bstract-One of the main problems of SDR GNSS receivers is a considerable amount of data to process. This paper considers partially skipping data in signal tracking module. We propose an adaptive algorithm allowing t...
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Plant planting design in landscape plant landscape is not only an effective environmental protection measure, but also has a certain aesthetic appearance. In the process of garden landscape design, the designer has pa...
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The subject of this article is the development of an adaptive approach for the optimal distribution of problems among solvers in conditions of uncertainty. Despite the large amount of research related to the construct...
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The quality of communication is seriously affected by ICI in communication. Blind equalization can solve this problem well. In this paper, the fixed step length modified super-exponential iterative blind equalization ...
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While purely digital phased arrays were once discarded as simultaneous transmit and receive (STAR) capable platforms, this notion has recently been reconsidered. Previous work demonstrated that adaptive digital beamfo...
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While purely digital phased arrays were once discarded as simultaneous transmit and receive (STAR) capable platforms, this notion has recently been reconsidered. Previous work demonstrated that adaptive digital beamforming and digital self-interference cancellation (SIC) can enable transmitting and receiving subapertures in an array to operate simultaneously in the same frequency band. This approach, referred to as Aperture-Level Simultaneous Transmit and Receive (ALSTAR), uses only adaptive digital beamforming and digital SIC techniques. The ALSTAR architecture does not require custom radiators or analog canceling circuits that can increase front end losses and add significant size, weight, and cost to the array. This paper extends the previously proposed effective isotropic isolation (EII) metric to account for fixed dynamic range transmit and receive channels. An alternating optimization procedure that exploits the interdependence of the transmit and receive beamformers is proposed based on the symmetry of the EII metric, achieving higher EII than in previous work. This optimization procedure balances the goal of null-placement for interference and noise rejection with the goal of maintaining high transmit and receive gain. Simulated results are presented for a-element array that achieves dB of EII in narrowband operation with W of transmit power. We explore the effectiveness of the architecture and proposed optimization methods by demonstrating the high EII achieved across the full scan space of the array at several transmit power levels. Results are also presented for a regularized version of the beamformer optimization problem that allows the designer to trade EII for array gain.
In this article we present an adaptive scheme for solving radial basis function collocation problems, which involve elliptic partial differential equations. The proposed algorithm is applied to two usual numerical met...
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In this article we present an adaptive scheme for solving radial basis function collocation problems, which involve elliptic partial differential equations. The proposed algorithm is applied to two usual numerical methods, known as the nonsymmetric Kansa's method and the symmetric Hermite-based approach. Basically, the refinement algorithm is firstly characterized by the use of an adaptive superimposition scheme, in which an error estimate compares two approximate solutions computed on a coarser and a finer set of collocation points, and then on a modified adaptive residual subsampling scheme. Blending these computational techniques we detect the areas that need to be refined, also having the chance to further add and/or remove adaptively collocation points. Our study is supported by several numerical results, which illustrate the performance of our iterative algorithm. (C) 2020 Elsevier Inc. All rights reserved.
Given a set of n colored balls, a majority, non-minority or plurality ball is one whose color class has size more than n/2, at least n/2 or larger than any other color class, respectively. We describe linear time algo...
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Given a set of n colored balls, a majority, non-minority or plurality ball is one whose color class has size more than n/2, at least n/2 or larger than any other color class, respectively. We describe linear time algorithms for finding non-minority balls using query sets of size q of the following form: the answer to a majority/plurality query Q is a majority/plurality ball in Q or the statement that there is no such ball in Q. (C) 2020 Elsevier B.V. All rights reserved.
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