LEADER 03364nam 22006732 450 001 9910462787803321 005 20151019144351.0 010 $a1-107-23334-8 010 $a1-139-60976-9 010 $a1-139-01561-3 010 $a1-139-61162-3 010 $a1-139-62092-4 010 $a1-283-94804-4 010 $a1-139-62464-4 010 $a1-139-61534-3 010 $a1-139-60833-9 035 $a(CKB)2670000000324851 035 $a(EBL)1099807 035 $a(OCoLC)824118083 035 $a(SSID)ssj0000804580 035 $a(PQKBManifestationID)11425167 035 $a(PQKBTitleCode)TC0000804580 035 $a(PQKBWorkID)10822959 035 $a(PQKB)11297122 035 $a(UkCbUP)CR9781139015615 035 $a(MiAaPQ)EBC1099807 035 $a(Au-PeEL)EBL1099807 035 $a(CaPaEBR)ebr10644365 035 $a(CaONFJC)MIL426054 035 $a(EXLCZ)992670000000324851 100 $a20110214d2013|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDetection and estimation for communication and radar systems /$fKung Yao, University of California, Los Angeles, Flavio Lorenzelli, The Aerospace Corporation, Los Angeles, Chiao-En Chen, National Chung Cheng University, Taiwan$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2013. 215 $a1 online resource (x, 322 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-76639-7 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: 1. Introduction and motivation to detection and estimation; 2. Review of probability and random processes; 3. Statistical hypothesis testing theory; 4. Detection of deterministic binary signals in Gaussian noises; 5. M-ary detection and classification of deterministic signals; 6. Non-coherent detection; 7. Parameter estimation; 8. Analytical and simulation methods for system performance analysis and design. 330 $aCovering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods are provided, ensuring a deeper understanding of the basics. Packed with practical insights, it uses extensive examples from communication, telecommunication and radar engineering to illustrate how theoretical results are derived and applied in practice. A unique blend of theory and applications and over 80 analytical and computational end-of-chapter problems make this an ideal resource for both graduate students and professional engineers. 517 3 $aDetection & estimation for communication & radar systems 606 $aSignal processing 606 $aSignal detection 615 0$aSignal processing. 615 0$aSignal detection. 676 $a621.382/2 700 $aYao$b Kung$01052440 702 $aLorenzelli$b Flavio 702 $aChen$b Chiao-En 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910462787803321 996 $aDetection and estimation for communication and radar systems$92483742 997 $aUNINA LEADER 01365nam a2200361 i 4500 001 991001232869707536 005 20020507185711.0 008 940511s1985 de ||| | eng 020 $a3540160590 035 $ab10819174-39ule_inst 035 $aLE01309090$9ExL 040 $aDip.to Matematica$beng 082 0 $a515.55 084 $aAMS 30E10 084 $aAMS 41A10 084 $aAMS 41A21 084 $aAMS 42C 100 1 $aBrezinski, Claude$013908 245 10$aPolynomes orthogonaux et applications :$bproceedings of the Laguerre Symposium held at Bar-le-duc, October 15-18, 1984 /$ceds. C. Brezinki, A. Draux, A. P. Magnus, P. Maroni, A. Ronveaux 260 $aBerlin ; Heidelberg ; New York :$bSpringer-Verlag,$c1985 300 $axxxvii, 584 p. ;$c24 cm. 490 0 $aLecture notes in mathematics,$x0075-8434 ;$v1171 500 $aConference/Meeting Bar-le-Duc, 1984 650 4$aApproximation theory 700 1 $aMagnus, Alphonse P. 700 1 $aMaroni, Pascal 700 1 $aRonveaux, André 907 $a.b10819174$b23-02-17$c28-06-02 912 $a991001232869707536 945 $aLE013 41-XX BRE11 (1985)$g1$i2013000004228$lle013$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10925995$z28-06-02 996 $aPolynomes orthogonaux et applications$9925050 997 $aUNISALENTO 998 $ale013$b01-01-94$cm$da $e-$feng$gde $h0$i1