Analysis Window Length Selection For Linear Signal Models

Date

2015-05-19

Author

Yazar, Alper
Candan, Çağatay

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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.

Subject Keywords

Signal Modeling, Linear Models, Parameter Estimation

URI

https://hdl.handle.net/11511/55016

Conference Name

23nd Signal Processing and Communications Applications Conference (SIU)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

A. Yazar and Ç. Candan, “Analysis Window Length Selection For Linear Signal Models,” presented at the 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55016.