LEADER 01473nam a2200325 i 4500 001 991000502739707536 005 20020503182103.0 008 950516s1999 it ita 020 $a883488230X 035 $ab10087035-39ule_inst 035 $aLE02517223$9ExL 040 $aFac. Economia$bita 082 0 $a657.9 100 1 $aPaolone, Giuseppe$0110348 245 12$aL'economia delle imprese societarie :$baspetti economico-aziendali e normativi /$cGiuseppe Paolone 250 $a2. ed. riv. ed ampliata 260 $aTorino :$bGiappichelli,$cc1999 300 $ax, 460 p. ;$c24 cm 490 0 $aCollana di studi e ricerche sul sistema-azienda ;$v5 650 4$aSocietą commerciali 650 4$aUnioni di imprese 907 $a.b10087035$b19-09-18$c27-06-02 912 $a991000502739707536 945 $aLE025 ECO 657.9 PAO01.01 1999$g1$i2025000191426$lle025$n2008$o-$pE30.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i14774410$z12-06-08 945 $aLE025 ECO 657.9 PAO01.01 1999$g2$i2025000174351$lle025$n2008$o-$pE30.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i14774446$z12-06-08 945 $aLE025 ECO 657.9 PAO01.01 1999$g3$i2025000076594$lle025$nCatalogato 2018$o-$pE0.00$q-$rl$s- $t0$u9$v3$w9$x0$y.i10100581$z27-06-02 945 $aLE025 338 PAO 99 1 $g1$i2025000076600$lle025$o-$pE0.00$q-$rl$sm $t0$u0$v0$w0$x0$y.i10100593$z27-06-02 996 $aEconomia delle imprese societarie$961298 997 $aUNISALENTO 998 $ale025$b01-01-95$cm$da $e-$fita$git $h2$i2 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