| 000 | 01278nam a22003135a 4500 | ||
|---|---|---|---|
| 005 | 20250919172513.0 | ||
| 006 | m q d | ||
| 007 | cr nn 008maaau | ||
| 008 | 090205s2007 mau q j eng d | ||
| 020 | _a9780387686301 (electronic bk.) | ||
| 035 | _a(Springer)978-0-387-26328-1 | ||
| 039 | 9 |
_a200902050908 _bmuhaimin _c200804221649 _didah _c200804171519 _didah _c200804042131 _dshai _y04-04-2008 _zmuhaimin |
|
| 050 | 1 | 4 |
_aQA402 _b.O48 2007 |
| 082 | 0 | 4 |
_a003.1 _222 |
| 100 | 1 | _aOgunfunmi, Tokunbo. | |
| 245 | 1 | 0 |
_aAdaptive Nonlinear System Identification _h[electronic resource] : _bThe Volterra and Wiener Model Approaches / _cby Tokunbo Ogunfunmi. |
| 260 |
_aBoston, MA : _bSpringer Science+Business Media, LLC, _c2007. |
||
| 300 |
_a229 p. : _bill., digital ; _c24 cm. |
||
| 440 | 0 |
_aSignals And Communication Technology, _x1860-4862 |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer e-books | |
| 856 | 4 | 0 | _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=http://dx.doi.org/10.1007/978-0-387-68630-1 |
| 907 |
_a.b14160675 _b2025-02-04 _c2019-11-12 |
||
| 942 | _n0 | ||
| 914 | _avtls003373698 | ||
| 998 |
_ae0001 _b2008-04-04 _cm _dz _feng _gmau _y0 _z.b14160675 |
||
| 999 |
_c674738 _d674738 |
||