Title :
Locally monotonic regression
Author :
Restrepo, Alfredo ; Bovik, Alan C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
A novel technique for shaping/smoothing discrete signals is introduced. The approach, known as locally monotonic regression, entails finding a locally monotonic signal that best approximates the given signal. The authors present the problem within a theoretical framework, show the existence of a solution, and give an algorithm that computes it. Several examples are used to illustrate the approach
Keywords :
signal processing; algorithm; discrete signals; locally monotonic regression; locally monotonic signal; shaping; signal approximation; smoothing; Filtering; Filters; Linear regression; Machine vision; Signal processing; Signal processing algorithms; Skeleton; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266679
