A saturation analysis of error-spectrum shaping quantizers
Error spectrum shaping (ESS) quantizers are analyzed in the context of realistic FIR reconstruction filters and nonzero probability of saturation. Conditions for stable operation are derived, and a suboptimal but effective and computationally efficient design method is proposed. Excellent agreement...
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| Veröffentlicht in: | IEEE transactions on communications 1996-02, Vol.44 (2), p.218-228 |
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| container_end_page | 228 |
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| container_issue | 2 |
| container_start_page | 218 |
| container_title | IEEE transactions on communications |
| container_volume | 44 |
| creator | Stacey, N.D. Frost, R.L. Ware, G.A. |
| description | Error spectrum shaping (ESS) quantizers are analyzed in the context of realistic FIR reconstruction filters and nonzero probability of saturation. Conditions for stable operation are derived, and a suboptimal but effective and computationally efficient design method is proposed. Excellent agreement is obtained between the analysis and simulations. Even under these more stringent constraints, ESS quantizers are shown to achieve significant signal-to-quantization-noise ratio (SQNR) gains when quantizing oversampled Gaussian sources. |
| doi_str_mv | 10.1109/26.486614 |
| format | Article |
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Conditions for stable operation are derived, and a suboptimal but effective and computationally efficient design method is proposed. Excellent agreement is obtained between the analysis and simulations. 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Conditions for stable operation are derived, and a suboptimal but effective and computationally efficient design method is proposed. Excellent agreement is obtained between the analysis and simulations. Even under these more stringent constraints, ESS quantizers are shown to achieve significant signal-to-quantization-noise ratio (SQNR) gains when quantizing oversampled Gaussian sources.</description><subject>Delta-sigma modulation</subject><subject>Electronic switching systems</subject><subject>Error analysis</subject><subject>Feedback</subject><subject>Finite impulse response filter</subject><subject>Frequency</subject><subject>IIR filters</subject><subject>Image reconstruction</subject><subject>Noise reduction</subject><subject>Noise shaping</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><recordid>eNqF0DtPw0AQBOATAokQKGipXCFROOz5nqaLIl5SJBqorc35DIcc27m1i_DrceSIlmql2U9TDGPXHBacQ36f6YW0WnN5wmZcKZuCVeaUzQBySLUx9pxdEH0DgAQhZuxhmRD2Q8Q-tE2CDdZ7CpS0VeJjbGNKnXd9HLYJfWEXms9kN2DThx8f6ZKdVViTvzreOft4enxfvaTrt-fX1XKdukzbPvXSonHK6k0FlqtcGo5K4pio0qHjpRNZqXMDXosxq5QUQvMKNpCLLAcUc3Y79Xax3Q2e-mIbyPm6xsa3AxWZ1QYyo_6HWoK14gDvJuhiSxR9VXQxbDHuCw7FYcaRFtOMo72ZbPDe_7nj8xcMKmv0</recordid><startdate>19960201</startdate><enddate>19960201</enddate><creator>Stacey, N.D.</creator><creator>Frost, R.L.</creator><creator>Ware, G.A.</creator><general>IEEE</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19960201</creationdate><title>A saturation analysis of error-spectrum shaping quantizers</title><author>Stacey, N.D. ; Frost, R.L. ; Ware, G.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c268t-e48a7c586bf08159471a54ac585dcac1dc32d6970e63585f543361f0b093290a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Delta-sigma modulation</topic><topic>Electronic switching systems</topic><topic>Error analysis</topic><topic>Feedback</topic><topic>Finite impulse response filter</topic><topic>Frequency</topic><topic>IIR filters</topic><topic>Image reconstruction</topic><topic>Noise reduction</topic><topic>Noise shaping</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stacey, N.D.</creatorcontrib><creatorcontrib>Frost, R.L.</creatorcontrib><creatorcontrib>Ware, G.A.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Stacey, N.D.</au><au>Frost, R.L.</au><au>Ware, G.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A saturation analysis of error-spectrum shaping quantizers</atitle><jtitle>IEEE transactions on communications</jtitle><stitle>TCOMM</stitle><date>1996-02-01</date><risdate>1996</risdate><volume>44</volume><issue>2</issue><spage>218</spage><epage>228</epage><pages>218-228</pages><issn>0090-6778</issn><eissn>1558-0857</eissn><coden>IECMBT</coden><abstract>Error spectrum shaping (ESS) quantizers are analyzed in the context of realistic FIR reconstruction filters and nonzero probability of saturation. Conditions for stable operation are derived, and a suboptimal but effective and computationally efficient design method is proposed. Excellent agreement is obtained between the analysis and simulations. Even under these more stringent constraints, ESS quantizers are shown to achieve significant signal-to-quantization-noise ratio (SQNR) gains when quantizing oversampled Gaussian sources.</abstract><pub>IEEE</pub><doi>10.1109/26.486614</doi><tpages>11</tpages></addata></record> |
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| ispartof | IEEE transactions on communications, 1996-02, Vol.44 (2), p.218-228 |
| issn | 0090-6778 1558-0857 |
| language | eng |
| recordid | cdi_ieee_primary_486614 |
| source | IEEE Electronic Library (IEL) |
| subjects | Delta-sigma modulation Electronic switching systems Error analysis Feedback Finite impulse response filter Frequency IIR filters Image reconstruction Noise reduction Noise shaping |
| title | A saturation analysis of error-spectrum shaping quantizers |
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