[PDF] Top 20 Adaptive Radial Basis Function Detector for Beamforming
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Adaptive Radial Basis Function Detector for Beamforming
... RBF detector typically requires significantly more RBF centres than the number of channel output states in order to approximate the Bayesian detector using noisy training data, and often there is a ... See full document
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Adaptive Radial Basis Function Detector for Beamforming
... Conclusions ❏ Nonlinear beamforming achieves significantly smaller system bit error rate and larger user capacity ❏ Optimal Bayesian beamforming solution has an inherent symmetry structu[r] ... See full document
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Compactly Supported Radial Basis Function Kernels
... The motivation of our work is to construct kernels which have local support and sparse Gram matrices. A closely related work was developed in Achlioptas et al. (2002) which sparsifies the Gram matrix K by randomly ... See full document
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Prediction of Combine Harvester Performance Using Hybrid Machine Learning Modeling and Response Surface Methodology
... using radial basis function (RBF) and the hybrid machine learning method of adaptive neuro-fuzzy inference system (ANFIS) to predict various variables of the combine harvester for the optimal ... See full document
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DPCA does this task by extracting
... Abstract— In this paper, a new soft sensor methodology is proposed for estimation of product concentration in a chemical process. The new soft sensor utilizes dynamic principle component analysis (DPCA) method to select ... See full document
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Symmetric Radial Basis Function Network Equaliser
... sample-by-sample adaptive training algorithm have been proposed for this sym- metric RBF equaliser, and the simulation results have in- dicated that they are capable of approaching the optimum Bayesian ... See full document
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Adaptive sliding mode control with radial basis function neural network for time dependent disturbances and uncertainties
... Robot manipulators are being used in a wide variety of manufacturing and technical applications. They are used in dangerous environments such as handling of hazardous materials in nuclear plants, chemical and gas ... See full document
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Burst by Burst Adaptive Turbo Coded Radial Basis Function Assisted Decision Feedback Equalization
... the basis of this BER estimate the remote AQAM transmitter is instructed by superimposing a 2-bit AQAM mode request message upon the receiver’s own transmitted burst in order to invoke the transmission mode deemed ... See full document
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Adaptive narrowband interference mitigation by designing UWB waveforms based on radial basis function neural networks
... In [4], based on the emerging concept of cognitive radios (CRs), multiple pulse waveforms adaption is considered for generating the expected spectral notches while matching FCC spectral mask. A novel UWB pulse designing ... See full document
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An Efficient Artificial Intelligence Maximum Power Point Tracker Based On Genetic Algorithm-Radial Basis Function
... on Adaptive GA-RBF was ...using adaptive GA, to optimize RBF neural network reduced considerably the mse, this made the new method more robust in tracking the maximum power ... See full document
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A Wideband Radial Basis Function Decision Feedback Equaliser Assisted Burst by Burst Adaptive Modem
... URST-BY-BURST adaptive quadrature amplitude mod- ulation (AQAM) schemes employ a higher order modu- lation mode in a transmission burst, when the channel quality is favorable, in order to increase the bits per ... See full document
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Unified Noise Reduction using Adaptive Radial Basis Function
... on radial basis functions ...(complex radial basis function neural network) for low order digital channel equalization with an extra parameter to reduce nonlinear ...of adaptive ... See full document
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A radial basis function WENO method with stencil adaptivity
... gulation T . A cell T ∈ T is derefined by removing its nodes from the triangulation T . This means that all cells sharing a node have to be marked for derefinement for the node to be suc- cessfully removed from the ... See full document
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An Adaptive Controller using Radial Basis Function Neural Network with Reinforcement Learning
... Although there is no proof for these kinds of controllers’ stability, this interaction usually leads to a good controlling ability for the systems that can be controlled by an adaptive PID controller. In this ... See full document
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Radial Basis Function Decision Feedback Equaliser Assisted Burst by Burst Adaptive Modulation
... In deriving the upper bound performance of the joint adaptive modulation and RBF based equalisation scheme, in addition to the assumptions listed in Section 3.1, we also assume that the [r] ... See full document
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Adaptive Radial Basis Function Methods for Pricing Options Under Jump Diffusion Models
... Meshfree radial basis function (RBF) interpolation is a well-known technique for reconstructing an unknown function from scattered ...an adaptive RBF ...using adaptive RBF to ... See full document
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Radial Basis Function Network Assisted Wide Band Beamforming
... A classic assumption in the field of multiple antenna based beamformers is that the number of receiver antennas is at least as high as the number of users supported, because the performance of ’over-loaded’ beamformers ... See full document
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Designinga Neuro-Sliding Mode Controller for Networked Control Systems with Packet Dropout
... switching function used in the sliding mode control design, an improved genetic algorithm is ...an adaptive neural sliding mode control based on radial-basis function neural network ... See full document
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Writer Identification and Recognition Using Radial Basis Function
... In this Paper, we have presented a writer identification and recognition system that utilizes Radial Basis Function (RBF) in the Off-line mode. Our approach is text independent and uses text lines as ... See full document
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Classifying ReachOut posts with a radial basis function SVM
... a function of the number of ex- amples ...scoring function for grid search is the official macro-averaged F1 restricted to non-green classes, in contrast to the average accuracy used ... See full document
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