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Advanced Digital Signal Processing Methods for Filtering, Identification, and Nonlinear Systems Control
Advanced Digital Signal Processing Methods for Filtering, Identification, and Nonlinear Systems Control
0 - Default Title
Description
The new version of least square algorithm that is speeded up without changing its adaptive characteristics, increasing the parallelism in algorithm.
The efficient lower triangular inverse matrix and the input signal covariance matrix computation method.
The 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.
The 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.
The proven statement that the modular layered structures admit the very large scale integration implementation of the polynomial nonlinear filters.
The 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.
Product details
Number of Pages:
180
Release Date:
2026-01-11
Publication Date:
2026-01-03
Publisher:
Springer
Languages:
Original:
English
ISBN10:
3032067391
ISBN13:
9783032067395
GPSR Manufacturer Reference:
Weight:
440 g
Height:
160 cm
Width:
241 cm
Thickness:
16 cm
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