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Analysis Window Length Selection For Linear Signal Models
Date
2015-05-19
Author
Yazar, Alper
Candan, Çağatay
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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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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.