Adaptive Systems in Control and Signal Processing 1983 1984
DOI: 10.1016/b978-0-08-030565-3.50007-1
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive Signal Processing for Adaptive Control

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
485
0
27

Year Published

1999
1999
2013
2013

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 360 publications
(513 citation statements)
references
References 10 publications
1
485
0
27
Order By: Relevance
“…The objective of an adaptive filter is to generate the output signal y ( k ) as close as possible to the desired signal d ( k ) . To do this, the adaptive filter adjusts its coefficient w( k ) at each sampling time k by [12] 1 µ…”
Section: Affine Projection Algorithm (Apa)mentioning
confidence: 99%
See 1 more Smart Citation
“…The objective of an adaptive filter is to generate the output signal y ( k ) as close as possible to the desired signal d ( k ) . To do this, the adaptive filter adjusts its coefficient w( k ) at each sampling time k by [12] 1 µ…”
Section: Affine Projection Algorithm (Apa)mentioning
confidence: 99%
“…where k is the discrete time index, T denotes to transpose, and adaptive Finite Impulse Response (FIR) filter coefficient vector defined by [12] , , … … … … . The objective of an adaptive filter is to generate the output signal y ( k ) as close as possible to the desired signal d ( k ) .…”
Section: Affine Projection Algorithm (Apa)mentioning
confidence: 99%
“…represents half of the estimated i -th coordinate of the performance criterion gradient for the LMS algorithm, [1,2,3]. The best bias-to-variance ratio is obtained for the particular step size that turns (15) into an equality.…”
Section: New Vs Lms Adaptive Algorithmmentioning
confidence: 99%
“…Let the first one have the maximal step size value max µ which does not violate the algorithm convergence condition [1,2,3], while the second one is characterized in each iteration by the variable step size ) (k i µ . The analysis from the previous section may now be applied to these two algorithms.…”
Section: New Vs Lms Adaptive Algorithmmentioning
confidence: 99%
See 1 more Smart Citation