A new method for varying adaptive bandwidth selection

Authors:
V. Katkovnik
Affiliations:
Dept. of Stat., South Africa Univ., Pretoria
Venue:
IEEE Transactions on Signal Processing
Year:
1999

Citing 0
Cited 19

Adaptive Window Size Image De-noising Based on Intersection of Confidence Intervals (ICI) Rule

Journal of Mathematical Imaging and Vision
Kernel density estimation with adaptive varying window size

Pattern Recognition Letters
Adaptive windowed Fourier transform

Signal Processing
Application of the ICI principle to window size adaptive median filtering

Signal Processing
Mean shift algorithm equipped with the intersection of confidence intervals rule for image segmentation

Pattern Recognition Letters
On Bandwidth Selection in Local Polynomial Regression Analysis and Its Application to Multi-resolution Analysis of Non-uniform Data

Journal of Signal Processing Systems
From Local Kernel to Nonlocal Multiple-Model Image Denoising

International Journal of Computer Vision
Multiresolution local polynomial regression: A new approach to pointwise spatial adaptation

Digital Signal Processing
Kernel bandwidth estimation for nonparametric modeling

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Brief paper: Easy recipes for cooperative smoothing

Automatica (Journal of IFAC)
Local polynomial modeling and bandwidth selection for time-varying linear models

ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Adaptive 2-D wavelet transform based on the lifting scheme with preserved vanishing moments

IEEE Transactions on Image Processing
Adaptive classifiers with ICI-based adaptive knowledge base management

ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Local polynomial Fourier transform: A review on recent developments and applications

Signal Processing
Video denoising using shape-adaptive sparse representation over similar spatio-temporal patches

Image Communication
Adaptive sampling and reconstruction using greedy error minimization

Proceedings of the 2011 SIGGRAPH Asia Conference
On Kernel Selection of Multivariate Local Polynomial Modelling and its Application to Image Smoothing and Reconstruction

Journal of Signal Processing Systems
2011 Special Issue: A just-in-time adaptive classification system based on the intersection of confidence intervals rule

Neural Networks
Adaptive filter support selection for signal denoising based on the improved ICI rule

Digital Signal Processing

Quantified Score

Hi-index	35.69

Visualization

Abstract

A novel approach is developed to solve a problem of varying bandwidth selection for filtering a signal given with an additive noise. The approach is based on the intersection of confidence intervals (ICI) rule and gives the algorithm, which is simple to implement and adaptive to unknown smoothness of the signal