NDLI: A fixed-point quantization model in the statistical analysis of adaptive filters

Content Provider	IEEE Xplore Digital Library
Author	Leban, M. Tasic, J.F.
Copyright Year	1998
Description	Author affiliation: Fac. of Electr. Eng., Ljubljana Univ., Slovenia (Leban, M.)
Abstract	In this paper, an improved fixed-point quantization model, suitable for statistical analysis of adaptive filters, is presented. The model considers that the input value to the quantizer can also be a previously quantized one and not only an infinite-precision value, as was the case in a very simple quantization model used in literature. For the fixed-point values obtained by the improved quantization model, the mean value and mean-squared value, used in the statistical analysis of adaptive filters, are obtained. It is also shown that the mean value for rounding is not zero if the input value to the quantizer is not an infinite-precision one, what is a very interesting and not well known result.
Starting Page	627
Ending Page	631
File Size	456544
Page Count	5
File Format	PDF
ISBN	0780338790
DOI	10.1109/MELCON.1998.692504
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-18
Publisher Place	Israel
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quantization Statistical analysis Adaptive filters Integrated circuit modeling Signal analysis Digital circuits Digital filters White noise Fixed-point arithmetic Computer simulation
Content Type	Text
Resource Type	Article

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A fixed-point quantization model in the statistical analysis of adaptive filters