Results 11 to 20 of about 171,090 (289)
MBJ-neutrosophic subalgebras and filters in BE-algebras
AIMS Mathematics, 2022 The concept of a neutrosophic set, which is a generalization of an intuitionistic fuzzy set and a para consistent set etc., was introduced by F. Smarandache. Since then, it has been studied in various applications.
Rajab Ali Borzooei +3 more
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Set-Membership Fuzzy Filtering for Nonlinear Discrete-Time Systems [PDF]
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010 This paper is concerned with the set-membership filtering (SMF) problem for discrete-time nonlinear systems. We employ the Takagi-Sugeno (T-S) fuzzy model to approximate the nonlinear systems over the true value of state and to overcome the difficulty with the linearization over a state estimate set rather than a state estimate point in the set ...
Fuwen, Yang, Yongmin, Li
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Nonlinear Adaptive Filtering With Kernel Set-Membership Approach [PDF]
IEEE Transactions on Signal Processing, 2020 This paper develops nonlinear kernel adaptive filtering algorithms based on the set-membership filtering (SMF) framework. The set-membership-based filtering approach is distinct from the conventional adaptive filtering approaches in that it aims for the filtering error being bounded in magnitude, as opposed to seeking to minimize the time average or ...
Kewei Chen +3 more
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Two variants of the IIR spline adaptive filter for combating impulsive noise
EURASIP Journal on Advances in Signal Processing, 2019 It has been pointed out that the nonlinear spline adaptive filter (SAF) is appealing for modeling nonlinear systems with good performance and low computational burden.
Chang Liu +3 more
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Optimized hash for network path encoding with minimized false positives [PDF]
, 2014 The Bloom filter is a space efficient randomized data structure for representing a set and supporting membership queries. Bloom filters intrinsically allow false positives.
Carrea, Laura +2 more
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Set-membership filtering and a set-membership normalized LMS algorithm with an adaptive step size [PDF]
IEEE Signal Processing Letters, 1998 Set-membership identification (SMI) theory is extended to the more general problem of linear-in-parameters filtering by defining a set-membership specification, as opposed to a bounded noise assumption. This sets the framework for several important filtering problems that are not modeled by a "true" unknown system with bounded noise, such as adaptive ...
S. Gollamudi +3 more
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Ground-based astrometry with wide field imagers. V. Application to near-infrared detectors: HAWK-I@VLT/ESO [PDF]
, 2014 High-precision astrometry requires accurate point-spread function modeling and accurate geometric-distortion corrections. This paper demonstrates that it is possible to achieve both requirements with data collected at the high acuity wide-field K-band ...
A. Bellini +39 more
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Satisfiability-based Set Membership Filters
Journal on Satisfiability, Boolean Modeling and Computation, 2014 Introduced here is a novel application of Satisfiability (SAT) to the set membership problem with specific focus on efficiently testing whether large sets contain a given element. Such tests can be greatly enhanced via the use of filters, probabilistic algorithms that can quickly decide whether or not a given element is in a given set.
Weaver, Sean A. +4 more
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A Design of Bloom Filter for Cover Query [PDF]
Jisuanji gongcheng, 2016 Cover query plays an important role in maintaining the integrity of files and the consistency of data in distributed systems.Although Bloom filter can support quick membership query,it can only represent a discrete data set.This paper utilizes a set of ...
XIE Kun,WU Juhong
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International Journal of Advanced Robotic Systems, 2012 The adaptive extended set-membership filter (AESMF) for nonlinear ellipsoidal estimation suffers a mismatch between real process noise and its set boundaries, which may result in unstable estimation.
Dalei Song +4 more
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