MARC record from Internet Archive

LEADER: 01956cam 22003018a 4500
001 9922438470001661
005 20150423143750.0
008 970715s1998 nyu b 001 0 eng
010 $a 97033122
020 $a0471184071 (cloth : alk. paper)
035 $a(CSdNU)u68954-01national_inst
035 $a(OCoLC)37353938
035 $a(Sirsi) 01-AAH-3615
040 $aDLC$cDLC
049 $aCNUM
050 00 $aTK7872.F5$bB76 1998
100 1 $aBrookner, Eli,$d1931-
245 10 $aTracking and Kalman filtering made easy /$cEli Brookner.
260 $aNew York :$bWiley,$c1998.
300 $axxii, 477 p. :$bill. ;$c25 cm.
500 $aA Wiley-Interscience publication."
504 $aIncludes bibliographical references (p. 456-463) and index.
505 0 $ag-h and g-h-k filters -- Kalman filter -- Practical issues for radar tracking -- Least-squares and minimum-variance estimates for linear time-invariant systems -- Fixed-memory polynomial filter -- Expanding-memory (growing-memory) polynomial filters -- Fading-memory (discounted least-squares) filter -- General form for linear time-invariant system -- General recursive minimum-variance growing-memory filter (Bayes and Kalman Filter without target process noise) -- Voltage least-squares algorithms revisited -- Givens orthonormal transformation -- Householder orthonormal transformation -- Gram-Schmidt orthonormal transformation -- More on voltage-processing techniques -- Linear time-variant system -- Nonlinear observation scheme and dynamic model (extended Kalman filter) -- Bayes algorithm with iterative differential correction for nonlinear systems -- Kalman filter revisited.
650 0 $aElectric filters$xMathematics.
650 0 $aTracking radar$xMathematics.
650 0 $aKalman filtering.
948 $a10/13/1999$b10/13/1999
999 $aTK 7872 F5 B76 1998$wLC$c1$i31786101043096$d10/17/2008$f4/9/2004$g1 $lCIRCSTACKS$mNULS$q1$rY$sY$tBOOK$u9/11/1998$o.STAFF. Pieces: 00001