Peak and power
The estimation of power is problematic when the amplitudes in the discrete spectral component are random. An example of this is a mixed spectrum stationary Gaussian process with mean zero. In this regard, it is shown that the maximum likelihood estimator of the power from a random sample of peaks ex...
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| creator | Houdre, C. Kedem, B. |
| description | The estimation of power is problematic when the amplitudes in the discrete spectral component are random. An example of this is a mixed spectrum stationary Gaussian process with mean zero. In this regard, it is shown that the maximum likelihood estimator of the power from a random sample of peaks exceeding a relatively large threshold, the peak estimator is more efficient than the sample variance from a random sample of the same size of signal values. When evaluated from nonrandom samples, indications are that the peak estimator may still have a relatively small mean square error. |
| doi_str_mv | 10.1109/ICPR.1994.577112 |
| format | Conference Proceeding |
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An example of this is a mixed spectrum stationary Gaussian process with mean zero. In this regard, it is shown that the maximum likelihood estimator of the power from a random sample of peaks exceeding a relatively large threshold, the peak estimator is more efficient than the sample variance from a random sample of the same size of signal values. When evaluated from nonrandom samples, indications are that the peak estimator may still have a relatively small mean square error.</description><identifier>ISBN: 9780818662751</identifier><identifier>ISBN: 0818662751</identifier><identifier>DOI: 10.1109/ICPR.1994.577112</identifier><language>eng</language><publisher>IEEE</publisher><subject>Amplitude estimation ; Analysis of variance ; Convergence ; Educational institutions ; Frequency ; Gaussian processes ; Mathematics ; Maximum likelihood estimation ; Mean square error methods ; Time series analysis</subject><ispartof>Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 2 - Conference B: Computer Vision & Image Processing. (Cat. 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When evaluated from nonrandom samples, indications are that the peak estimator may still have a relatively small mean square error.</description><subject>Amplitude estimation</subject><subject>Analysis of variance</subject><subject>Convergence</subject><subject>Educational institutions</subject><subject>Frequency</subject><subject>Gaussian processes</subject><subject>Mathematics</subject><subject>Maximum likelihood estimation</subject><subject>Mean square error methods</subject><subject>Time series analysis</subject><isbn>9780818662751</isbn><isbn>0818662751</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1994</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjsuKwkAQAAcWwUXjWfbkDyROp2emZ45L8AWCIrtn6SQ9ENcXyYL49wpal7oVpdQYdAagw3RVbHcZhGAySwSQf6gkkNcevHM5WeirpOsO-okx1pD-VKOt8N-Ez_XkerlJO1S9yMdOkrcH6nc--ymW6XqzWBXf67QBMv8pM1pmoDKyWIyx8ii1jxZyQs3RGq7RIZcM1ok4b8hw5eoAgJo0RRyor1e3EZH9tW1O3N73r2l8ADYsNUk</recordid><startdate>1994</startdate><enddate>1994</enddate><creator>Houdre, C.</creator><creator>Kedem, B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1994</creationdate><title>Peak and power</title><author>Houdre, C. ; Kedem, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i174t-aa35aa17bfae53ffc83ed8f512730af54ad363aba156ee68474ac6d91130707f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Amplitude estimation</topic><topic>Analysis of variance</topic><topic>Convergence</topic><topic>Educational institutions</topic><topic>Frequency</topic><topic>Gaussian processes</topic><topic>Mathematics</topic><topic>Maximum likelihood estimation</topic><topic>Mean square error methods</topic><topic>Time series analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Houdre, C.</creatorcontrib><creatorcontrib>Kedem, B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Houdre, C.</au><au>Kedem, B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Peak and power</atitle><btitle>Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 2 - Conference B: Computer Vision & Image Processing. (Cat. No.94CH3440-5)</btitle><stitle>ICPR</stitle><date>1994</date><risdate>1994</risdate><spage>11</spage><epage>14 vol.3</epage><pages>11-14 vol.3</pages><isbn>9780818662751</isbn><isbn>0818662751</isbn><abstract>The estimation of power is problematic when the amplitudes in the discrete spectral component are random. An example of this is a mixed spectrum stationary Gaussian process with mean zero. In this regard, it is shown that the maximum likelihood estimator of the power from a random sample of peaks exceeding a relatively large threshold, the peak estimator is more efficient than the sample variance from a random sample of the same size of signal values. When evaluated from nonrandom samples, indications are that the peak estimator may still have a relatively small mean square error.</abstract><pub>IEEE</pub><doi>10.1109/ICPR.1994.577112</doi></addata></record> |
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| identifier | ISBN: 9780818662751 |
| ispartof | Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 2 - Conference B: Computer Vision & Image Processing. (Cat. No.94CH3440-5), 1994, p.11-14 vol.3 |
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| language | eng |
| recordid | cdi_ieee_primary_577112 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Amplitude estimation Analysis of variance Convergence Educational institutions Frequency Gaussian processes Mathematics Maximum likelihood estimation Mean square error methods Time series analysis |
| title | Peak and power |
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