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Fuzzy-Based Real Time Adaptive Nonlinear Noise

Fuzzy Logic based Adaptive Noise Filter for Real Time Image Processing Applications

Fuzzy Logic based Adaptive Noise Filter for Real Time Image Processing Applications

... impulse noise from the grayscale digital ...impulse noise is present or not, detected pixel has impulse noise when it lies outside from the trimming range by using fuzzy ...the noise by ...

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A Real Time Adaptive Multiresolution Adaptive Wiener Filter Based On Adaptive Neuro-Fuzzy Inference System And Fuzzy evaluation

A Real Time Adaptive Multiresolution Adaptive Wiener Filter Based On Adaptive Neuro-Fuzzy Inference System And Fuzzy evaluation

... to Noise Ratio, Signal to Noise Ratio, Structural Similarity Index, Mean Absolute Error and Image Quality Assessment are evaluated by the Fuzzy deduction ...the adaptive Wiener filter. In ...

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Synergetic Adaptive Fuzzy Control for a Class of Nonlinear Discrete-time Systems

Synergetic Adaptive Fuzzy Control for a Class of Nonlinear Discrete-time Systems

... of nonlinear systems and their stability and nonlinear ...of nonlinear systems [2]. Most systems are nonlinear with characteristics that change with time, since that, in a dynamic ...

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Real Time Results of a Fuzzy Neural Network Active Noise Controller

Real Time Results of a Fuzzy Neural Network Active Noise Controller

... using fuzzy neural network structure. An adaptive feedback ANC system using fuzzy neural network with saturation of the power amplifier is proposed, where the model of fuzzy neural network is ...

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Real time nonlinear filtered-x lms algorithm for active noise control

Real time nonlinear filtered-x lms algorithm for active noise control

... Active Noise Control Structures ...IMC Based Feedback Control Structure ...2.5 Nonlinear Compensation Techniques ...Block-Oriented Nonlinear Models 2.26 2.6.6 Neural Network and Fuzzy ...

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Adaptive Finite-time Fuzzy Control of Nonlinear Active Suspension Systems With Input Delay

Adaptive Finite-time Fuzzy Control of Nonlinear Active Suspension Systems With Input Delay

... point, adaptive control methods combined with function approximators such as neural network (NN) and fuzzy logic system (FLS) have been extensively studied ...corresponding fuzzy rules. Hence, ...

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Takagi Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems

Takagi Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems

... continuous time nonlinear systems is performed for an explicit linear parameterization of the uncertainty in the dynamics is either unknown or ...of fuzzy systems, [5] expressed as a series expansion ...

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Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity

Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity

... of noise reduction and serves as the benchmark because the algorithm used the true value of the degree of nonlinearity associated with saturation model [17, ...for real time implementation. Due to ...

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Adaptive filtering-based multi-innovation gradient algorithm for input nonlinear systems with autoregressive noise

Adaptive filtering-based multi-innovation gradient algorithm for input nonlinear systems with autoregressive noise

... with time-delay. Both the process noise and the measurement noise are considered in the ...system. Based on the observable canonical state space form and the key term separation, a ...

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Real time active noise cancellation using adaptive filters following RLS and LMS algorithm

Real time active noise cancellation using adaptive filters following RLS and LMS algorithm

... using real time speech signals. The adaptive filter design discussed here is based on two algorithms RLS (Recursive Least Square) and LMS (Least Mean Square) and a comparison has been drawn ...

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Real-time feature extraction of P300 component using adaptive nonlinear principal component analysis

Real-time feature extraction of P300 component using adaptive nonlinear principal component analysis

... Ideally, the EEG machine records, along the scalp, the electrical activities generated by the firing of neurons within the brain. The present problem is that EEG signals con- tain the neurons ’ activities located in some ...

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Development of adaptive fuzzy based Image
                      Filtering techniques for efficient
                      Noise Reduction in Medical Images

Development of adaptive fuzzy based Image Filtering techniques for efficient Noise Reduction in Medical Images

... The fuzzy technique is an operator introduced in order to simulate at a mathematical level the compensatory behavior in process of decision making or subjective ...method based on fuzzy logic ...

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Adaptive multiprocessor real-time systems

Adaptive multiprocessor real-time systems

... ambient noise, further degrade the signal-to-noise ratio causing total computation time to ...run time, the tasks comprising Whisper must be scheduled using algorithms that either allow task ...

347

Real Time Implementation of Fuzzy Adaptive PI-sliding Mode Controller for Induction Machine Control

Real Time Implementation of Fuzzy Adaptive PI-sliding Mode Controller for Induction Machine Control

... a fuzzy adaptive PI-sliding mode control is proposed for Induction Motor speed ...an adaptive PI-sliding mode controller with a proportional plus integral equivalent control action is investigated, ...

11

Real Time Traffic Sign Detection Recognition using Adaptive Neuro Fuzzy Inference System

Real Time Traffic Sign Detection Recognition using Adaptive Neuro Fuzzy Inference System

... point based on histogram of local gradients On the other ...computation time has reduced significantly in ...is based on the determinant of Hessian matrix. Based on local maxima of determinant ...

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Real-Time Adaptive Noise Cancellation in Pulse Oximetry: Accuracy, Processing Speed and Program Memory Considerations

Real-Time Adaptive Noise Cancellation in Pulse Oximetry: Accuracy, Processing Speed and Program Memory Considerations

... determined based on improvements in the MSE for HR and SpO 2 ...0.03. Adaptive filtering reported an average improvement of 40% in SpO 2 readings over the entire range of µ ...for adaptive filtering ...

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Adaptive Algorithms Performance Analysis for Noise Cancellations using Neural Networks employing real time signals

Adaptive Algorithms Performance Analysis for Noise Cancellations using Neural Networks employing real time signals

... complex real world problems require intelligent systems that combine knowledge, techniques and methodologies from various ...making. Noise is an unwanted energy, which interferes with the desired ...with ...

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Research Article Adaptive Fuzzy Consensus Tracking Control for Nonlinear Multiagent Systems with Time-Varying Delays and Constraints

Research Article Adaptive Fuzzy Consensus Tracking Control for Nonlinear Multiagent Systems with Time-Varying Delays and Constraints

... an adaptive fuzzy distributed consensus tracking control scheme for a class of uncertain nonlinear dynamic multiagent systems (MASs) with state time-varying delays and state ...

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An Improved Time-Frequency Representation Based on Nonlinear Mode Decomposition and Adaptive Optimal Kernel

An Improved Time-Frequency Representation Based on Nonlinear Mode Decomposition and Adaptive Optimal Kernel

... the noise is removed effectively while the higher frequency components are ...removing noise because of the strong noise robustness of NMD ...two real signals, we compare the performance of ...

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Performance of Wiener Filter and Adaptive Filter for Noise Cancellation in Real Time Environment

Performance of Wiener Filter and Adaptive Filter for Noise Cancellation in Real Time Environment

... remove noise within the signal and compared their performance with respect to different ...for noise cancellation but it requires high complexity. So adaptive filters are introduced to reduce the ...

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