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{ "item_title" : "Adaptive Nonlinear System Identification", "item_author" : [" Tokunbo Ogunfunmi "], "item_description" : "This professional level book introduces engineers and researchers to the field of nonlinear adaptive system identification. It first describes the general field and then develops both the Volterra model approach and the discrete Wiener model approach. The performances of the two model approaches are compared. Devoted especially to polynomial types of nonlinearities for which the Volterra and Wiener approaches are well-suited, Adaptive Nonlinear system Identification focuses on System Identification applications of the adaptive methods covered. These methods can be applied to other applications of adaptive nonlinear processes. The book also covers recent research results in the area of adaptive nonlinear system identification from the author and other researchers in the field.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/44/193/883/1441938834_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Adaptive Nonlinear System Identification|Tokunbo Ogunfunmi

Adaptive Nonlinear System Identification : The Volterra and Wiener Model Approaches

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Overview

This professional level book introduces engineers and researchers to the field of nonlinear adaptive system identification. It first describes the general field and then develops both the Volterra model approach and the discrete Wiener model approach. The performances of the two model approaches are compared. Devoted especially to polynomial types of nonlinearities for which the Volterra and Wiener approaches are well-suited, Adaptive Nonlinear system Identification focuses on System Identification applications of the adaptive methods covered. These methods can be applied to other applications of adaptive nonlinear processes. The book also covers recent research results in the area of adaptive nonlinear system identification from the author and other researchers in the field.

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Details

  • ISBN-13: 9781441938831
  • ISBN-10: 1441938834
  • Publisher: Springer
  • Publish Date: November 2010
  • Dimensions: 9 x 6 x 0.52 inches
  • Shipping Weight: 0.74 pounds
  • Page Count: 232

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