|
|
|
|
| LEADER |
00764nam a2200241 i 4500 |
| 001 |
0022064 |
| 003 |
HR-ZaIRB |
| 005 |
20110517110342.0 |
| 008 |
081013s2008 -usa |||||||||||||eng d |
| 020 |
|
|
|a 9780470253885
|
| 035 |
|
|
|z 25838
|
| 040 |
|
|
|a HR-ZaIRB
|b hrv
|c HR-ZaIRB
|e ppiak
|
| 080 |
|
|
|a 519.16
|
| 100 |
1 |
|
|4 aut
|a Sayed, Ali H.
|
| 245 |
1 |
0 |
|a Adaptive filters /
|c Ali H. Sayed.
|
| 260 |
|
|
|a Hoboken, NY :
|b IEEE : Wiley-Interscience,
|c cop. 2008.
|
| 300 |
|
|
|a XXX, 786 str. :
|b ilustr. ;
|c 26 cm.
|
| 504 |
|
|
|a Bibliografija: str. 758-774.
|
| 653 |
|
|
|a mathematical statistics
|a variance
|a random variable
|a optimal estimation
|a LMS algorithm
|
| 942 |
|
|
|c BOOK
|
| 960 |
|
|
|a Kopriva, Ivica
|c Lilita, 005-IRB-037
|
| 998 |
|
|
|c Mihalić, Mirjana
|
| 999 |
|
|
|c 22096
|d 22096
|
