AR model estimation from quantized signals

被引：10

作者：

Biscainho, LWP ^{[1
]}

机构：

[1] Univ Fed Rio de Janeiro, POLI, DEL, LPS, BR-21945970 Rio De Janeiro, Brazil

来源：

IEEE SIGNAL PROCESSING LETTERS | 2004年 / 11卷 / 02期

关键词：

audio processing; autoregressive (AR) model; least squares estimation; quantization; sensitivity;

D O I：

10.1109/LSP.2003.821683

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：183 / 185

页数：3

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[3]

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[10]

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