DocumentCode
867366
Title
AR model estimation from quantized signals
Author
Biscainho, Luiz W P
Author_Institution
Univ. Fed. do Rio de Janeiro: LPS-DEL/POLI, Rio de Janeiro, Brazil
Volume
11
Issue
2
fYear
2004
Firstpage
183
Lastpage
185
Abstract
This letter investigates the deviation of least squares AR-model estimates induced by linear quantization of the observable signal under modeling. Model correction is attained by describing the undesirable bias as a function of the number of bits used to represent the signal. Sensitivity considerations are employed to explain the behavior of the deviations on the generator filter poles. Numerical examples are included.
Keywords
audio signal processing; autoregressive processes; estimation theory; least squares approximations; quantisation (signal); audio processing; autoregressive-model estimation; generator filter pole; least square deviation estimate; linear quantization; model correction; quantized signal; sensitivity; undesirable bias description; Binary sequences; Computational modeling; Filters; Frequency estimation; Interpolation; Least squares approximation; Maximum likelihood estimation; Quantization; Resonance; Signal processing;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2003.821683
Filename
1261974
Link To Document