Title :
Analysis window length selection for linear signal models
Author :
Yazar, Alper ; Candan, Cagatay
Author_Institution :
Sayisal ve Gomulu Sistemler, Elektron. Tasarim Mudurlugu, ASELSAN A.r., Ankara, Turkey
Abstract :
A method is presented for the selection of analysis window length, or the number of input samples, for linear signal modeling without compromising the model assumptions. It is assumed that the signal of interest lies in a known linear space and noisy samples of the signal is provided. The goal is to use as many signal samples as possible to mitigate the effect of noise without violating the assumptions on the model. An application example is provided to illustrate the suggested method.
Keywords :
signal sampling; analysis window length selection; linear signal models; noisy signal samples; Analytical models; Bayes methods; Histograms; Noise measurement; Signal to noise ratio; Linear Models; Parameter Estimation; Signal Modeling;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130078
