[PDF] Top 20 An Adaptive Nonlinear Filter for System Identification
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An Adaptive Nonlinear Filter for System Identification
... In nonlinear system identification, input signals with high eigen value spread, ill-conditioned tap input autocorre- lation matrix can lead to divergence or poor performance of a fixed step-size ... See full document
7
Comparison of Adaptive Kalman Filter Methods in State Estimation of a Nonlinear System Using Asynchronous Measurements
... for nonlinear industrial systems using asynchronous measurements to simulate the circumstances of real case ...accurate system model and exact stochastical noise ...Kalman filter with incomplete ... See full document
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Adaptive Channel Equalizer using Combination of FIR and Functional Link Artificial Neural Network for Complex Signals
... approximation, nonlinear system identification, and channel equalization by Zhao and Zhang ...and nonlinear channel models in the case of PAM or QAM. An adaptive equalizer is proposed ... See full document
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Xilinx System Generator® Based Implementation of a Novel Method of Extraction of Nonstationary Sinusoids
... LMS adaptive fil- ters to design hardware oriented architectures to meet performance demands for systems ...the filter, it has exceptional performance in nonlinear applications rele- vant to the ... See full document
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Duct Modeling Using the Generalized RBF Neural Network for Active Cancellation of Variable Frequency Narrow Band Noise
... of nonlinear e ff ects in ANC complicates the use of the linear algorithm FX-LMS and similar ...purpose, identification systems with a nonlinear struc- ture are used where a neural network is among ... See full document
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INCORPORATING DEOXYRIBONUCLEIC ACID IN AES SCHEME FOR ENHANCING SECURITY AND PRIVACY PROTECTION
... control system is highly applicable in industry since it can handle more real ...on-line adaptive PID controller is proposed in this paper to control a MIMO nonlinear system based on on-line ... See full document
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Distributed and adaptive location identification system for mobile devices
... frequency adaptive model-based indoor localization method ” (MFAM) proposed in [34] was built upon the work in [33] using multiple frequency ...The system was tested using a mobile robot, and the reported ... See full document
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Set-Membership Proportionate Affine Projection Algorithms
... Proportionate adaptive filters can improve the convergence speed for the identification of sparse systems as compared to their conventional counterparts. In this paper, the idea of proportionate adaptation ... See full document
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Bright field microscopic cells counting method for BEVS using nonlinear convergence index sliding band filter
... expression system using Transformed Sliding Band Filter (TSBF), which is a new image-based microscopy cell counting method under a bright ...a nonlinear filter, Sliding Band Filter ... See full document
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INTELLIGENT SELF TUNING PID CONTROLLER USING HYBRID IMPROVED PARTICLE SWARM OPTIMIZATION FOR ULTRASONIC MOTOR
... on system identification models under vortex induced vibration (VIV) has been verified in this ...Two System identification methods used to create models which are: Neural Network based on ... See full document
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Mammogram enhancement using quadratic adaptive Volterra filter A comparative analysis in spatial and frequency domain
... an Adaptive Volterra filter is used for contrast enhancement of ...using adaptive Volterra filter and the performance of adaptive Volterra filter is compared with other spatial ... See full document
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Adaptive second order Volterra series filter for removing noise from nonlinear system
... through the error signal (ERS), ERS error is a difference of desire and ASVSF output signal. ASVSF output comes from designed filter. ASVSF model have two input name error signal (ERS) and Band Limit White Noise ... See full document
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Adaptive IIR and FIR Filtering using Evolutionary LMS Algorithm in View of System Identification
... the adaptive filters, the limitation of invariance is ...the filter to update its own weights as per certain foreordained optimization ...process. Adaptive digital filters can be classified into ... See full document
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Adaptive Fusion of Inertial Navigation System and Tracking Radar Data
... hybrid adaptive Kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system ...This filter involves the concept of residual-based ... See full document
11
Performance Monitoring of Nonlinear CSTR Using Novel Adaptive Unscented Kalman Filter
... Abstract- This paper investigates the application of multi- sensor data fusion (MSDF) technique to enhance the state estimation of a nonlinear plant. The proposed method is based on Kalman filters approach to ... See full document
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Determination of Array Gain of Single Hop to Achieve the Performance of a 2 Hop Wireless Link
... In adaptive beamforming system adaptive algorithm of digital filter is applied to update the weighting vector of the antenna elements to get antenna gain along the desired direction and ... See full document
15
Digital Harmonic Canceling Algorithm for Power Amplifiers Based on Nonlinear Adaptive Filter
... the nonlinear behavior of ...a nonlinear adaptive filter based on the nonlinear filtered-x adaptive algorithm and the direct learning ... See full document
14
Nonlinear model-based condition monitoring of advanced gas-cooled nuclear reactor cores
... To reduce the computation time when the standard trust- region algorithm is applied to solve large-scale problems, a number of new approximation and heuristic strategies have been proposed in the literature. In this ... See full document
8
System Identification And Design Of Controllers For A Hybrid Tank System
... To evaluate the performance of the different controllers this paper has considered two vital parameters of the step response of the system. The first parameter is the maximum overshoot and the second parameter is ... See full document
5
Adaptive Nonlinear Filter using Main Texture Direction for Mixed Noise in Color Image Processing
... [4] Mishra D, Bose I, & Das M, et al. 2014. Detection and reduction of impulse noise in RGB color image using fuzzy technique[M]//Distributed Computing and Internet Technology. Springer International Publishing: ... See full document
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