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Robust Estimation Based on the Least Absolute Deviations Method and the Kalman Filter© 2020, Pleiades Publishing, Inc. We propose a new approach for solving the filtering problem
Color image restoration with Fuzzy Gaussian mixture model driven nonlocal filter means (NLM) filter is proven to obtain good results for denoising Gaussian noise corrupted digital
Image enhancement algorithmsGaussian filtering
Color image restoration with Fuzzy Gaussian mixture model driven nonlocal filter means (NLM) filter is proven to obtain good results for denoising Gaussian noise corrupted digital
Сравнительный анализ методов фильтрации замеров данных скважин сложной конструкции noise. Both classical filtering methods (Kalman filter, Savitzky-Golay filter, one-dimensional Gaussian
Improvement of the multiphoton fluorescence microscopy images quality using digital filtration, Gaussian filter and median filterfor improving the is fluorescence lifetime imaging microscopy (FLIM) data
Coordinate and Time-frequency Support of a Spacecraft Flight by Means of Autonomic Navigation Using Sigma-point Kalman Filter Algorithm. The calculator utilizes sigma-point Kalman filter. Analysis of estimations accuracy is done by the
Monte
Non-linear FM demodulation with neural networks in through-the-earth mine communications on an assumption of Gaussian random noise. Such assumption ignores many possible non-linear effects which may
Improved Recordings of the Optical Intrinsic Signals in the Neonatal Rat Barrel Cortex of spatial Gaussian filtering with sigma of 1 px increases the OIS SNR almost twofold. Additional light
Modernizing the Global Approximation Method of Posterior Probability Density for Oscillator Synchronization Purposesfiltering
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