Search Results - (( java implication force algorithm ) OR ( model realization path algorithm ))
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1
Nonlinear FXLMS algorithm for active noise control systems with saturation nonlinearity
Published 2012“…The NLFXLMS algorithm requires an exact copy of the linear and nonlinear models of the secondary path. …”
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2
All-pass filtered x least mean square algorithm for narrowband active noise control
Published 2018“…Most available ANC uses the secondary path modelling including filtered x least mean square (FxLMS) algorithm. …”
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3
Development of Path Loss Models for Smooth and Convex Surfaces Terrains in Malaysian Environment
Published 2004“…The results show that these entire models gave unsatisfactory results when compared with the measured path losses, where for smooth terrain, the FSL, PEL and WI models overestimated the path loss as high as 72%, 70% and 23%, respectively and for single and double convex surfaces terrains, the E-P, D, E-D, B-L and G models overestimated the path loss as high as 25% in all measurement frequencies. …”
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4
Development of a State-Space Observer for Active Noise Control Systems
Published 2009“…The secondary path of the ANC system is modeled by using the LMS algorithm to complete the design of the Filtered-X Least Mean Square (FXLMS) controller. …”
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5
Implementation of motion planning and active force control to a virtual wheeled mobile robot
Published 2004“…The developed simulator may serve as a virtual testbed for the repetitive experimentation of the proposed mobile robot control scheme within a specified workspace or layout. The motion path planning is based on the A*heuristic search algorithm with a specific reference to the sixelementary jumps graph for the generation of a nonholonomic global collision-free path environment. …”
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6
Compressed channel estimation for massive MIMO-OFDM systems over doubly selective channels
Published 2019“…Simulation results demonstrate that the proposed scheme can effectively estimate the DS channel for massive MIMO-OFDM systems compared with other existing algorithms. For example, at SNR=20 dB for K=4 users, Doppler shift=0.093 with NT=32 antenna size, the adaptive-QBSO algorithm with G-SBEM and the proposed gQBSO with modified-SBEM can realize approximately 75.44%and 85.14% of the NMSE achieved by the oracle estimator with modified-SBEM.…”
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7
Load balancing and congestion control in ATM using fuzzy logic and spiking neuron network / Tan Jiann Shin
Published 2005“…The proposed model proves that artificial intelligence implementation (using fuzzy link cost and spiking neuron network) realize concept integration easily. …”
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