| 000 | 01896nam a2200445 i 4500 | ||
|---|---|---|---|
| 001 | EBC4562136 | ||
| 003 | MiAaPQ | ||
| 005 | 20240123163505.0 | ||
| 006 | m o d | | ||
| 007 | cr cnu|||||||| | ||
| 008 | 160713t20162016njua ob 001 0 eng d | ||
| 020 | _z9781119125495 | ||
| 020 |
_a9781119125471 _q(electronic bk.) |
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| 035 | _a(MiAaPQ)EBC4562136 | ||
| 035 | _a(Au-PeEL)EBL4562136 | ||
| 035 | _a(CaPaEBR)ebr11228549 | ||
| 035 | _a(CaONFJC)MIL934992 | ||
| 035 | _a(OCoLC)952108134 | ||
| 040 |
_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ |
||
| 050 | 4 |
_aTK5102.9 _b.C363 2016 |
|
| 082 | 0 |
_a621.382/201519542 _223 |
|
| 100 | 1 |
_aCandy, James V., _eauthor. |
|
| 245 | 1 | 0 |
_aBayesian signal processing : _bclassical, modern, and particle filtering methods / _cJames V. Candy. |
| 250 | _aSecond edition. | ||
| 264 | 1 |
_aHoboken, New Jersey : _bIEEE Press : _bWiley, _c2016. |
|
| 264 | 4 | _c2016 | |
| 300 |
_a1 online resource (637 pages) : _billustrations |
||
| 336 |
_atext _2rdacontent |
||
| 337 |
_acomputer _2rdamedia |
||
| 338 |
_aonline resource _2rdacarrier |
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| 504 | _aIncludes bibliographical references at the end of each chapters and index. | ||
| 588 | _aDescription based on print version record. | ||
| 590 | _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
| 650 | 0 |
_aSignal processing _xMathematics. |
|
| 650 | 0 | _aBayesian statistical decision theory. | |
| 655 | 4 | _aElectronic books. | |
| 776 | 0 | 8 |
_iPrint version: _aCandy, James V. _tBayesian signal processing : classical, modern, and particle filtering methods. _bSecond edition. _dHoboken, New Jersey : IEEE Press : Wiley, c2016 _h601 pages _z9781119125495 _w2016019012 |
| 797 | 2 | _aProQuest (Firm) | |
| 856 | 4 | 0 |
_uhttps://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=4562136 _zClick to View |
| 999 |
_c260248 _d260247 |
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