LEADER 00967nam0-2200325---450 001 990009357480403321 005 20170522123107.0 010 $a978-1-4200-6112-3 035 $a000935748 035 $aFED01000935748 035 $a(Aleph)000935748FED01 035 $a000935748 100 $a20110511d2010----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $aa-------001yy 200 1 $aProcessing effects on safety and quality of foods$fedited by Enrique Ortega-Rivas 210 $aBoca Raton, Fla.$cCRC$d2010 215 $aXX, 572 p.$cill.$d25 cm 225 1 $aContemporary food engineering 610 0 $aAlimenti$aControllo di qualitą 676 $a664.02$v20$zita 702 1$aOrtega-Rivas,$bEnrique 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009357480403321 952 $a60 664.02 B 1$b12606$fFAGBC 959 $aFAGBC 996 $aProcessing effects on safety and quality of foods$9768329 997 $aUNINA LEADER 02590nam 2200553Ia 450 001 9910739440403321 005 20200520144314.0 010 $a1-299-33715-5 010 $a1-4614-6292-4 024 7 $a10.1007/978-1-4614-6292-7 035 $a(OCoLC)844056224 035 $a(MiFhGG)GVRL6YAI 035 $a(CKB)2670000000336419 035 $a(MiAaPQ)EBC1106350 035 $a(EXLCZ)992670000000336419 100 $a20130219d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aSystem identification using regular and quantized observations $eapplications of large deviations principles /$fQi He, Le Yi Wang, G. George Yin 205 $a1st ed. 2013. 210 $aDordrecht $cSpringer$d2013 215 $a1 online resource (xii, 95 pages) $cillustrations (some color) 225 0$aSpringerBriefs in mathematics 300 $aDescription based upon print version of record. 311 $a1-4614-6291-6 320 $aIncludes bibliographical references and index. 327 $aIntroduction and Overview.- System Identification: Formulation.- Large Deviations: An Introduction.- LDP under I.I.D. Noises.- LDP under Mixing Noises.- Applications to Battery Diagnosis.- Applications to Medical Signal Processing.-Applications to Electric Machines -- Remarks and Conclusion -- References -- Index. 330 $aThis brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular.  By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications. 410 0$aSpringerBriefs in mathematics. 606 $aPiezoelectric materials 606 $aPiezoelectricity 606 $aPyroelectricity 615 0$aPiezoelectric materials. 615 0$aPiezoelectricity. 615 0$aPyroelectricity. 676 $a537.2446 700 $aHe$b Qi$0885026 701 $aWang$b Le Yi$01755450 701 $aYin$b G. George$061947 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739440403321 996 $aSystem identification using regular and quantized observations$94192230 997 $aUNINA