{"product_id":"advanced-digital-signal-processing-methods-for-filtering-identification-and-nonlinear-systems-control-von-rimantas-pupeikis-und-kazys-kazlauskas","title":"Advanced Digital Signal Processing Methods for Filtering, Identification, and Nonlinear Systems Control","description":"\n                                \n                \u003cp\u003eThis book presents a general approach to block and recursive filtering, identification, and control, using signal observations processing techniques, and among others provides to the reader these results:\u003c\/p\u003e\n                                \n                \n                \u003cp\u003eThe new version of least square algorithm that is speeded up without changing its adaptive characteristics, increasing the parallelism in algorithm.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003eThe efficient lower triangular inverse matrix and the input signal covariance matrix computation method.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003eThe original bias correction approach that is used to eliminate the parameter estimation bias of an iterative autoregressive system parameter estimation algorithm in the presence of additive white noise.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003eThe discovery that nonlinear Volterra, polynomial autoregressive and bilinear systems have the same layered implementation routine, which allows us using the layered structure, the order of nonlinearity increased\/decreased by adding\/deleting more layers to\/from the structure.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003eThe proven statement that the modular layered structures admit the very large scale integration implementation of the polynomial nonlinear filters.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003eThe book is aimed at three major groups of readers: senior undergraduate students, graduate students, and scientific research workers in electrical engineering, computer engineering, computer science, and digital control.\u003c\/p\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783032067395\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Hardcover - 9783032067395","offer_id":56980760527173,"sku":"9783032067395","price":149.79,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/988e8693-3dee-4001-b843-c641b738f4af.jpg?v=1776832820","url":"https:\/\/shop.autorenwelt.de\/products\/advanced-digital-signal-processing-methods-for-filtering-identification-and-nonlinear-systems-control-von-rimantas-pupeikis-und-kazys-kazlauskas","provider":"Autorenwelt Shop","version":"1.0","type":"link"}