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10.1109/SIU.2015.7130078

Yazar, A., & Candan, ร‡. (2015, May). Analysis window length selection for linear signal models. In 2015 23nd Signal Processing and Communications Applications Conference (SIU) (pp. 1301-1304). IEEE.

@inproceedings{yazar2015analysis,
  title={Analysis window length selection for linear signal models},
  author={Yazar, Alper and Candan, {\c{C}}a{\u{g}}atay},
  booktitle={2015 23nd Signal Processing and Communications Applications Conference (SIU)},
  pages={1301--1304},
  year={2015},
  organization={IEEE}
}

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.

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