LEADER 03734nam 22006375 450 001 9910659479003321 005 20250611081725.0 010 $a3-031-20818-8 024 7 $a10.1007/978-3-031-20818-8 035 $a(MiAaPQ)EBC7195755 035 $a(Au-PeEL)EBL7195755 035 $a(CKB)26130403900041 035 $a(DE-He213)978-3-031-20818-8 035 $a(PPN)268209502 035 $a(EXLCZ)9926130403900041 100 $a20230210d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEfficient Nonlinear Adaptive Filters $eDesign, Analysis and Applications /$fby Haiquan Zhao, Badong Chen 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (xvii, 260 pages) $cillustrations 300 $aIncludes index. 311 08$aPrint version: Zhao, Haiquan Efficient Nonlinear Adaptive Filters Cham : Springer International Publishing AG,c2023 9783031208171 320 $aIncludes bibliographical references and index. 327 $aAdaptive filter -- Volterra adaptive filter -- FLANN adaptive filter -- Spline adaptive filter -- Kernel adaptive filters. 330 $aThis book presents the design, analysis, and application of nonlinear adaptive filters with the goal of improving efficient performance (ie the convergence speed, steady-state error, and computational complexity). The authors present a nonlinear adaptive filter, which is an important part of nonlinear system and digital signal processing and can be applied to diverse fields such as communications, control power system, radar sonar, etc. The authors also present an efficient nonlinear filter model and robust adaptive filtering algorithm based on the local cost function of optimal criterion to overcome non-Gaussian noise interference. The authors show how these achievements provide new theories and methods for robust adaptive filtering of nonlinear and non-Gaussian systems. The book is written for the scientist and engineer who are not necessarily an expert in the specific nonlinear filtering field but who want to learn about the current research and application. The book is also writtento accompany a graduate/PhD course in the area of nonlinear system and adaptive signal processing. Presents recent research results and applications of nonlinear adaptive filters in a variety of areas; Includes the basic models, algorithms, performance analysis and applications of various nonlinear filters in complex environments; Suitable for scientists and engineers who want to learn about nonlinear filtering in fields such as communications, control, power system, radar, etc. 606 $aSignal processing 606 $aElectronic circuits 606 $aTelecommunication 606 $aAutomatic control 606 $aDigital and Analog Signal Processing 606 $aElectronic Circuits and Systems 606 $aCommunications Engineering, Networks 606 $aControl and Systems Theory 615 0$aSignal processing. 615 0$aElectronic circuits. 615 0$aTelecommunication. 615 0$aAutomatic control. 615 14$aDigital and Analog Signal Processing. 615 24$aElectronic Circuits and Systems. 615 24$aCommunications Engineering, Networks. 615 24$aControl and Systems Theory. 676 $a621.3822 700 $aZhao$b Haiquan$01315591 702 $aChen$b Badong 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910659479003321 996 $aEfficient Nonlinear Adaptive Filters$93032398 997 $aUNINA