Title :
A new method for varying adaptive bandwidth selection
Author :
Katkovnik, Vladimir
Author_Institution :
Dept. of Stat., South Africa Univ., Pretoria, South Africa
fDate :
9/1/1999 12:00:00 AM
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
Keywords :
adaptive filters; adaptive signal processing; noise; polynomial approximation; smoothing methods; additive noise; algorithm; intersection of confidence intervals; local polynomial approximation; piecewise smooth curves; signal filtering; varying adaptive bandwidth selection; Adaptive filters; Additive noise; Africa; Bandwidth; Estimation error; Filtering; Gaussian noise; Polynomials; Signal processing algorithms; Statistics;
Journal_Title :
Signal Processing, IEEE Transactions on
