A fixed-point quantization model in the statistical analysis of adaptive filters
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...
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| creator | Leban, M. Tasic, J.F. |
| description | 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. |
| doi_str_mv | 10.1109/MELCON.1998.692504 |
| format | Conference Proceeding |
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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.</description><subject>Adaptive filters</subject><subject>Computer simulation</subject><subject>Digital circuits</subject><subject>Digital filters</subject><subject>Fixed-point arithmetic</subject><subject>Integrated circuit modeling</subject><subject>Quantization</subject><subject>Signal analysis</subject><subject>Statistical analysis</subject><subject>White noise</subject><isbn>9780780338791</isbn><isbn>0780338790</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT81OwzAYi4SQQKMvsFNeoCXp1zTJcarGj7QxDnCevjX5RFDXliYgxtNTNCxbln2wZMaWUhRSCnu7XW-a3VMhrTVFbUslqguWWW3ETACjrbxiWYzvYkallAS4Zs8rTuHbu3wcQp_4xyf2KfxgCkPPj4PzHQ89T2-exzSXMYUWO449dqcYIh-Io8MxhS8_z3TJT_GGXRJ20Wf_vmCvd-uX5iHf7O4fm9UmD1JUKSeCSpcEROQOpqrR6LashdJatnIOSL4VJZIqzZ9AyrLVB0ALTjsCBQu2PO8G7_1-nMIRp9P-fBt-AZcNTxQ</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Leban, M.</creator><creator>Tasic, J.F.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1998</creationdate><title>A fixed-point quantization model in the statistical analysis of adaptive filters</title><author>Leban, M. ; Tasic, J.F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-ff3472f3fffdb846a87c2605771c1a87afec02af528f5283112c7b3a93d7df353</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Adaptive filters</topic><topic>Computer simulation</topic><topic>Digital circuits</topic><topic>Digital filters</topic><topic>Fixed-point arithmetic</topic><topic>Integrated circuit modeling</topic><topic>Quantization</topic><topic>Signal analysis</topic><topic>Statistical analysis</topic><topic>White noise</topic><toplevel>online_resources</toplevel><creatorcontrib>Leban, M.</creatorcontrib><creatorcontrib>Tasic, J.F.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Leban, M.</au><au>Tasic, J.F.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A fixed-point quantization model in the statistical analysis of adaptive filters</atitle><btitle>MELECON '98. 9th Mediterranean Electrotechnical Conference. Proceedings (Cat. No.98CH36056)</btitle><stitle>MELCON</stitle><date>1998</date><risdate>1998</risdate><volume>1</volume><spage>627</spage><epage>631 vol.1</epage><pages>627-631 vol.1</pages><isbn>9780780338791</isbn><isbn>0780338790</isbn><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. 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| identifier | ISBN: 9780780338791 |
| ispartof | MELECON '98. 9th Mediterranean Electrotechnical Conference. Proceedings (Cat. No.98CH36056), 1998, Vol.1, p.627-631 vol.1 |
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| language | eng |
| recordid | cdi_ieee_primary_692504 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive filters Computer simulation Digital circuits Digital filters Fixed-point arithmetic Integrated circuit modeling Quantization Signal analysis Statistical analysis White noise |
| title | A fixed-point quantization model in the statistical analysis of adaptive filters |
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