A New Neural Network Based Noise Reduction Filter
A Novel Approach for Medical Images Noise Reduction Based RBF Neural Network Filter
... of noise ( σ =15, 20, and ...Gaussian noise with three different standard deviations σ=15, 20 and 25 are ...Wiener Filter, MLP neural network and RBFNNF ...Weiner Filter and for ...
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New Insights Into the Noise Reduction Wiener Filter
... their noise reduction performance was evaluated by assessing the improvement of signal-to-noise ratio (SNR), subjective speech quality, or ASR performance (when the ASR system is trained in clean ...
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Neural network based shunt active filter for harmonic reduction: A technological review
... active filter modules to the electric grid ...Active filter and its ANN based control ...adaptive neural network and the reference current is obtained ...actual filter current ...
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An interferometric phase noise reduction method based on modified denoising convolutional neural network
... traditional noise reduction ...adaptive-window filter can be used according to the coherence or other criterions, it only reaches a tradeoff between noise reduction and edge ...phase ...
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Weight Median Filter Using Neural Network for Reducing Impulse Noise
... median filter based on threshold decomposition removes impulsive noise with an excellent image detail-preserving capability compared to nonlinear filter and linear ...
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Reduction of Noise in GPS Using Kalman Filter
... Kalman filter model to track a vehicle location and Statistical estimation for prediction of bus arrival ...Kalman filter algorithms to predict running times and delay times ...recurrent neural ...
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DEBLOCKING FILTER BASED ARTIFACT REDUCTION USING PSEUDO RANDOM NOISE MASKING
... Deblocking filter, H.264/AVC, High efficiency, Artifact Reduction Introduction The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG has finalized a new standard for the compression of natural ...
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Performance Analysis of Filter based on Functional Link Artificial Neural Network
... nonlinear filter based on FLANN has been proposed for the removal of Gaussian ...Artificial Neural Network having Chebyshev expansion works better than mean filter as well as the ...
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A Review on Neural Network based Noise Robust Speech Recognition Methods
... is based upon the filter bank model, which extracts the target features in the multiple ...the filter bank method based upon the frequency based feature description method, which ...
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Analysis of power quality disturbances based on kalman filter and MLP neural network
... a new method based on Kalman filter and Neural Network for the analysis and classification of the various power quality ...Kalman filter and a MLP based neural ...
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SVM based Filter Using Evidence Theory and Neural Network for Image Denosing
... fuzzy filter based on support vector machines and Dempster-Shafer evi- dence theory for effective noise suppression and detail ...proposed filter uses an SVM impulse detector to judge whether ...
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Noise and Speckle Reduction in Doppler Blood Flow Spectrograms Using an Adaptive Pulse-Coupled Neural Network
... Doppler noise and speckle in the STFT spectrograms, a method, called matching pursuit with Wigner distribution (MPWD), was proposed and has obtained good performance in noise and speckle suppression ...
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1. Impulsive noise reduction using fuzzy filter in gray images
... computing based techniques. These techniques such as neural networks, fuzzy logic systems and neuro-fuzzy systems are now frequently being used for better ...for noise sequence and the possibility ...
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Noise reduction using neural lateral inhibition for speech enhancement
... novel noise reduction method that is based on neuron rate coding and bio-inspired spiking neural network ...the network acts as the temporal characteristic synchrony and ...
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Mobile sensor network noise reduction and recalibration using a Bayesian network
... remove noise from the sensor ...a filter based on difference in consecutive differences in the ...the filter: an absolute threshold that was deemed unrealistic based on lab experiments ...
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Image Recovery Using a New Nonlinear Adaptive Filter Based on Neural Networks
... Gaussian noise, it is possible to extend the results to other type of ...Weiner filter because it is the most effective option for reducing Gaus- sian ...
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Trainable Kalman Filter Based on Recurrent Neural Network and its Application in Aviation Surveillance
... random noise of components of , and components of are mutually ...random noise at time k, and components of are independent of each other, like ...motion noise and measurement noise is ...
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Noise Reduction Technique using Bilateral Based Filter
... 1094 filter (VMF), have been widely used to reduce impulsive ...pixel filter or not – depending on whether noise is detected or ...the noise-free structures of the image ...
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Image filtering with noise reduction filter
... operacije poput konvolucije, množenja piksel-po-piksel i sumiranja, dok filtri frekvencijske domene zahtijevaju maskiranje, eliminaciju i pred-filtarsko izjednačavanje. Gauss operator i[r] ...
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SPECKLE NOISE REDUCTION USING BILATERAL FILTER
... with noise affecting both the visual quality and hindering quantitative image ...bilateral filter for speckle noise ...speckle noise. The main goal of the speckle noise reduction ...
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