adaptive algorithms
A Survey on Convergence of Various Adaptive Algorithms
... is adaptive filter due to self adjusting transfer ...case, Adaptive filter exhibits accurate signal by adjusting filter coefficient according to adaptive ...of adaptive algorithms and ...
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The Use of LMS and RLS Adaptive Algorithms for an Adaptive Control Method of Active Power Filter
... the algorithms will drop and it might be even possible to implement more complicated and more efficient algo- ...of adaptive filtering is and for a long time will remain widely opened sphere for scientific ...
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Filtering and Tracking with Trinion-Valued Adaptive Algorithms
... pure quaternions is no longer a pure quaternion in gen- eral. This could indicate redundant computations. For instance, the adaptive algorithms for 3-D signal filtering, which are initialised with pure ...
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A Review on Application of Adaptive Algorithms in Signal Processing
... conventional adaptive algorithms LMS, NLMS, and RLS for ANC are analyzed based on single channel broadband ...this adaptive filtering is required, they have the property to modify the values of their ...
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Adaptive Algorithms for Sparse Nonlinear Channel Estimation
... of adaptive algorithms that minimize transmission delays and take advantage of parameters ...ments. Adaptive algorithms for sparse channel estimation are developed in [3, ...
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The Applications and Simulation of Adaptive Algorithms in MATLAB
... the adaptive filter coefficients in order to minimize a prescribed ...overall adaptive process, such as existence of sub-optimal solutions, biased optimal solution, and computational ...
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Decision Making Styles and Adaptive Algorithms for Human Action
... the adaptive decision maker developed by Payne, Bettman and Johnson (1993), the decision making process is a highly contingent form of processing information with which indi- viduals use adaptive decision ...
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Quaternion Information Theoretic Learning Adaptive Algorithms for Nonlinear Adaptive
... learning algorithms efficiently [10][11] ...kernel adaptive filter for quaternion data based on minimum error entropy cost ...of adaptive algorithm in biased or non-Gaussian signals and noise ...
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Adaptive Morley element algorithms for the biharmonic eigenvalue problem
... the adaptive Morley element algorithms for a biharmonic eigenvalue problem in R n (n ≥ ...adaptive algorithms. Numerical experiments show that these algorithms are efficient and can get ...
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An ergodicity result for adaptive Langevin algorithms
... non- adaptive algorithms (described in ...both algorithms converge, the additional truncation step in AT-MALA will only serve to reduce the mean squared jump distance and increase ...
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Adaptive Routing Algorithms and Implementation for TESH Network
... Many adaptive routing algorithms for k-ary n-cube networks have already been ...those algorithms can also be applied to TESH ...three adaptive routing algorithms—channel-selection, ...
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A survey of Algorithms and Analysis for Adaptive Online Learning
... Descent algorithms when the regularizer (equivalently, prox- function or learning rate schedule) is chosen adaptively based on the ...AdaGrad-style algorithms (e.g., Online Gradient Descent with ...
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Adaptive Learning: Algorithms and Complexity
... new adaptive algorithm for online matrix ...how adaptive rates in the supervised learning model induce certain “offset” random processes, and that obtaining small upper bounds on these processes is ...
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The Dynamic Systems Adaptive Identification Algorithms on the Basis of the Regularity Principle
... Abstract — The problems of adaptive algorithms synthesis of dynamic systems identification on the basis of a regularity principle are considered. An error estimation of a basic data task for the various ...
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Blind distributed estimation algorithms for adaptive networks
... develop algorithms that utilize the distributed structure of an ad hoc wireless sensor network to estimate a certain parameter of ...these algorithms assume that the input regressor data is available to the ...
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Adaptive Beamforming Algorithms for Cancellation of Multiple Interference Signals
... for adaptive beamformers but our work has differences compared to these ...MIL adaptive algorithm, compared to other classical algorithms such as the Applebaum adaptive control loop method [1], ...
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On the containment condition for adaptive Markov Chain Monte Carlo algorithms
... for adaptive Metropolis-within-Gibbs algo- rithms, the target density is only required to be exponentially tailed on the direction of coordinates, and strong decrease is not ...of adaptive algorithms ...
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Novel adaptive spiral dynamics algorithms for global optimization
... proposed adaptive spiral dynamics algorithm (ASDA) and its details are described in section ...proposed adaptive algorithms in comparison to SDA with uni-modal and multi-modal test functions is ...
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A Unified View of Adaptive Variable-Metric Projection Algorithms
... variable-metric adaptive projected subgradient method (V- ...an adaptive variable-metric projection algorithm su ff ers from poor steady-state performance, one could either reduce the step size or control ...
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Stability of adversarial Markov Chains, with an application to adaptive MCMC algorithms
... samples. Adaptive MCMC algorithms attempt to improve on MCMC by modify- ing the Markov chain transitions as they run, but this destroys the Markov prop- erty and makes convergence to stationarity ...
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