LEADER 01012nam--2200349---450- 001 990002116280203316 005 20090204102753.0 035 $a000211628 035 $aUSA01000211628 035 $a(ALEPH)000211628USA01 035 $a000211628 100 $a20041027d1965----km-y0itay0103----ba 101 0 $aeng 102 $aGB 105 $a||||||||001yy 200 1 $aCost analysis for pricing and ditribution policies 210 $aNew York$cA.I.C.P.A.$d1965 215 $aVIII, 138 p.$d23 cm 410 0$12001 454 1$12001 461 1$1001-------$12001 676 $a658.8 712 02$aAmerican Institute of Certified Public Accountants 801 0$aIT$bsalbc$gISBD 912 $a990002116280203316 951 $a658.8 COS 1 (IRA 26 140)$b3471 E.C.$cIRA 26$d00012556 959 $aBK 969 $aECO 979 $aSIAV2$b10$c20041027$lUSA01$h1454 979 $aRSIAV2$b90$c20090204$lUSA01$h1027 996 $aCost analysis for pricing and ditribution policies$91036440 997 $aUNISA LEADER 02904nam 2200577 450 001 9910146050703321 005 20230422043249.0 010 $a1-280-55504-1 010 $a9786610555048 010 $a0-470-85340-9 010 $a1-60119-546-X 010 $a0-470-84161-3 035 $a(CKB)1000000000019109 035 $a(EBL)139830 035 $a(SSID)ssj0000071361 035 $a(PQKBManifestationID)11109930 035 $a(PQKBTitleCode)TC0000071361 035 $a(PQKBWorkID)10070741 035 $a(PQKB)10232103 035 $a(MiAaPQ)EBC139830 035 $a(OCoLC)53877385 035 $a(EXLCZ)991000000000019109 100 $a20160815h20002000 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdaptive filtering and change detection /$fFredrik Gustafsson 210 1$aChichester, West Sussex, England :$cJohn Wiley & Sons, Ltd,$d2000. 210 4$dİ2000 215 $a1 online resource (512 p.) 300 $aDescription based upon print version of record. 311 $a0-471-49287-6 320 $aIncludes bibliographical references and index. 327 $aAdaptive Filtering and Change Detection; Contents; Preface; Part I: Introduction; 1. Extended summary; 2. Applications; Part II: Signal estimation; 3. On-line approaches; 4. Off-line approaches; Part III: Parameter estimation; 5. Adaptive filtering; 6. Change detection based on sliding windows; 7. Change detection based on filter banks; Part IV: State estimation; 8. Kalman filtering; 9. Change detection based on likelihood ratios; 10. Change detection based on multiple models; 11. Change detection based on algebraical consistency tests; Part V: Theory; 12. Evaluation theory 327 $a13. Linear estimationA. Signal models and notation; B. Fault detection terminology; Bibliography; Index 330 $aAdaptive filtering is a branch of digital signal processing which enables the selective enhancement of desired elements of a signal and the reduction of undesired elements. Change detection is another kind of adaptive filtering for non-stationary signals, and is the basic tool in fault detection and diagnosis.This text takes the unique approach that change detection is a natural extension of adaptive filtering, and the broad coverage encompasses both the mathematical tools needed for adaptive filtering and change detection and the applications of the technology. Real engineering applicatio 606 $aAdaptive filters 606 $aElectric fault location 615 0$aAdaptive filters. 615 0$aElectric fault location. 676 $a621.3822 700 $aGustafsson$b Fredrik$0884239 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910146050703321 996 $aAdaptive filtering and change detection$91974515 997 $aUNINA