LEADER 06064nam 2200757Ia 450 001 9910437903203321 005 20200520144314.0 010 $a9786613944177 010 $a9781283631723 010 $a1283631725 010 $a9783642321320 010 $a3642321321 024 7 $a10.1007/978-3-642-32132-0 035 $a(CKB)2670000000250187 035 $a(EBL)1030512 035 $a(OCoLC)809201493 035 $a(SSID)ssj0000738372 035 $a(PQKBManifestationID)11420191 035 $a(PQKBTitleCode)TC0000738372 035 $a(PQKBWorkID)10791055 035 $a(PQKB)10031983 035 $a(DE-He213)978-3-642-32132-0 035 $a(MiAaPQ)EBC1030512 035 $z(PPN)258852828 035 $a(PPN)168321068 035 $a(EXLCZ)992670000000250187 100 $a20120821h20122013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMethods of signal processing for adaptive antenna arrays /$fLarysa Titarenko and Alexander Barkalov 205 $a1st ed. 2013. 210 $aBerlin ;$aHeidleberg $cSpringer-Verlag$d2012, c2013 215 $a1 online resource (233 p.) 225 0 $aSignals and communication technology ;$v6 300 $aDescription based upon print version of record. 311 08$a9783642428067 311 08$a3642428061 311 08$a9783642321313 311 08$a3642321313 320 $aIncludes bibliographical references and index. 327 $aTitle; Acknowledgements; Abbreviations; Introduction; General Characteristic of Methods for STSP; Analysis of Methods of Nonadaptive Spatial Signal Processing; Analysis of Peculiarities of Adaptive Spatial Signal Processing; Analysis of Non-structural Methods of Adaptive STSP; Analysis of Classical Structural Methods of Adaptive STSP; References; Background of Classical Theory of ASSP; Analysis of Typical Description of Signal-Noise Situation; Introduction into System of Criteria of Optimality; Analysis of Algorithms of Adaptive Space-Time Signal Processing; References 327 $aFeatures of ASSP under Different Levels of A-Priori UncertaintyAnalysis of Peculiarities of ASSP with Different Levels of A-Priori Uncertainty; Nature of a Priori Uncertainty about Properties of Signal and Noise; Methods of SSP under Generalized Parametric Uncertainty about the Noise Properties; Methods of SP under a Priory Parametric Uncertainty about Properties of Useful Signal; References; Algorithms of ASSP with Not Exactly Known Parameters; Main Approaches for Development of Algorithms of ASSP with Not Exactly Known Parameters 327 $aProbabilistic Approach for Synthesis of Robust Algorithms of ASSPDeterministic Approach: Robust Algorithms of ASSP for Modified Optimization Tasks; Restrictions for Value of Arbitrary Directivity Characteristic of Antenna; Additional Linear Restrictions; Restrictions of Standard Deviation for Directivity Characteristic of AA from the Given Value; Correlative Restrictions; Restrictions for the Shape of Amplitude-Phase Distribution of Currents in Channels of AA; Restriction for Value of Modulus of Output Signal of AA; Restrictions for Value of Norm ofWeight Coefficients 327 $aPeculiarities of Robustnization for Algorithms of ASSPApproximation of Control Vector by Section of Taylor Series; Projection Approach; Robustnization of ASSP Algorithms Using Nonlinear Transformations of Input Signals; Restrictions of Existed Methods of ASPS with Not Exactly Known Parameters; References; Background of ASSP with Not Exactly Known Parameters; Elements of Axiomatic and Some Analogies; Generalized Linear Systems of Rayleigh and Centrosymmetric Matrices; Algorithms of ASF Basing on Operators' Construction in Banach Space; Methods of Construction of Operators 327 $aMinimax Approach for Operator's Construction and Principle of ComparisonAdaptive Approach for Construction of Operators; Optimization Tasks with Squared Restrictions of the Unstrict Inequalities Type; Construction of Optimization Tasks with Mixed Restrictions; Construction of Optimization Tasks with Generalized Mixed Restrictions; Conclusion; References; Synthesis of ASF Algorithms for Not Exactly Known Parameters; Synthesis of Minimax Algorithms; Synthesis of Adaptive Algorithms; Synthesis of Algorithms for Adaptation of Structures of Operators to Current SIE 327 $aAnalysis of Quality for ASF Algorithms for Signals with Not Exactly Known Parameters 330 $aSo far there does not exist any theory of adaptive spatial signal processing (ASSP) for signals with uncertain parameters. This monograph is devoted to the development of this theory, which is very important in connection with wide spreading of telecommunications and radio links in the modern society. This theory can be applied for the development of effective radio communications. In the book some original approaches are proposed targeting the development of effective algorithms of ASSP with not exactly known parameters. They include both probabilistic and deterministic approaches for synthesis of robust algorithms of ASSP. The solution of problems also can be reduced to the construction of some operators for the Banach space which is presented in the book.  ?Methods of Signal Processing for Adaptive Antenna Arrays? targets professionals, students and PhD students in the area of telecommunications and should be useful for everybody connected with the new information technologies. 410 0$aSignals and Communication Technology,$x1860-4862 606 $aSignal processing 606 $aAdaptive antennas 615 0$aSignal processing. 615 0$aAdaptive antennas. 676 $a621.382/4 676 $a621.3822 700 $aTitarenko$b Larysa$01064371 701 $aBarkalov$b Alexander$0886717 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437903203321 996 $aMethods of signal processing for adaptive antenna arrays$94187547 997 $aUNINA LEADER 03560nam 2201069z- 450 001 9910674035103321 005 20210501 035 $a(CKB)5400000000042660 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68486 035 $a(oapen)doab68486 035 $a(EXLCZ)995400000000042660 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aTrends in Clinical Deep Brain Stimulation 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (246 p.) 311 08$a3-0365-0336-6 311 08$a3-0365-0337-4 330 $aThis book covers the current trends in clinical deep brain stimulation (DBS) research. This collection of papers from experts in the field provides state of the art knowledge and future perspectives in clinical DBS research. A range of topics involved in DBS is presented, ranging from high resolution imaging, electrophysiology and personalized medicine, in a broad range of brain disorders. 606 $aMedicine$2bicssc 610 $aaxial symptoms 610 $achronic pain 610 $aclonidine 610 $aclosed loop 610 $acognitive behavioral therapy 610 $acoping strategies 610 $aDBS 610 $aDBS programming algorithm 610 $aDBS side effects 610 $adeep brain stimulation 610 $adepression 610 $adexmedetomidine 610 $aelectrophysiology 610 $ageneral anesthesia 610 $agenetics 610 $aillness perceptions 610 $aillness representations 610 $aimaging 610 $ainferior thalamic peduncle 610 $aintraoperative computed tomography 610 $aintraoperative magnetic resonance imaging 610 $alead externalization 610 $alevodopa 610 $alocal anesthesia 610 $amagnetic resonance imaging 610 $amajor depressive disorder 610 $amedial forebrain bundle 610 $amedial prefrontal cortex 610 $ameta-analysis 610 $ameta-regression 610 $amicroelectrode recording 610 $amicroelectrode recordings 610 $an/a 610 $aneurophysiology 610 $aneuropsychological subtypes 610 $anon motor symptoms 610 $aobsessive compulsive disorder 610 $apain 610 $aParkinson's disease 610 $apersonalized treatment approach 610 $aprocedural sedation and analgesia 610 $aremifentanil 610 $aselection 610 $asensing 610 $astereoEEG 610 $astimulation parameters 610 $asubcallosal cingulate 610 $asubcallosal cingulate gyrus 610 $asubthalamic nucleus 610 $athalamic nucleus 610 $athermal grill 610 $atreatment resistant depression 610 $atreatment-resistant depression 610 $atremor 610 $atrial period 610 $aultra-high field 610 $aventral capsule 610 $aventral striatum 610 $azona incerta 615 7$aMedicine 700 $aJanssen$b Marcus L. F$4edt$01338949 702 $aTemel$b Yasin$4edt 702 $aJanssen$b Marcus L. F$4oth 702 $aTemel$b Yasin$4oth 906 $aBOOK 912 $a9910674035103321 996 $aTrends in Clinical Deep Brain Stimulation$93059253 997 $aUNINA