Sign in
Author

Conference

Journal

Organization

Year

DOI
Look for results that meet for the following criteria:
since
equal to
before
between
and
Search in all fields of study
Limit my searches in the following fields of study
Agriculture Science
Arts & Humanities
Biology
Chemistry
Computer Science
Economics & Business
Engineering
Environmental Sciences
Geosciences
Material Science
Mathematics
Medicine
Physics
Social Science
Multidisciplinary
Keywords
(8)
Adaptive Filter
Computational Complexity
Convergence Analysis
Gaussian Noise
Recursive Least Square
System Identification
Additive White Gaussian Noise
Variable Step Size
Subscribe
Academic
Publications
Recursive inverse adaptive filtering algorithm
Recursive inverse adaptive filtering algorithm,10.1016/j.dsp.2011.03.001,Digital Signal Processing,Mohammad Shukri Ahmad,Osman Kukrer,Aykut Hocanin
Edit
Recursive inverse adaptive filtering algorithm
(
Citations: 3
)
BibTex

RIS

RefWorks
Download
Mohammad Shukri Ahmad
,
Osman Kukrer
,
Aykut Hocanin
In this paper, a new FIR adaptive filtering algorithm is proposed. The approach uses a variable stepsize and the instantaneous value of the autocorrelation matrix in the coefficient update equation that leads to an improved performance.
Convergence analysis
of the algorithm has been presented. Simulation results show that the algorithm performs better than the Transform Domain LMS with Variable StepSize (TDVSS) in stationary
Additive White Gaussian Noise
(AWGN) and Additive Correlated
Gaussian Noise
(ACGN) environments in a
system identification
setting. It is shown that the algorithm has a performance better than RLS and very similar to RRLS algorithm with a considerable reduction in computational complexity. Additionally, the performance of the proposed algorithm is shown to be superior to that of the Stabilized Fast Transversal Recursive Least Squares (SFTRLS) algorithm under the same conditions.
Journal:
Digital Signal Processing
, vol. 21, no. 4, pp. 491496, 2011
DOI:
10.1016/j.dsp.2011.03.001
Cumulative
Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
(
www.sciencedirect.com
)
(
www.informatik.unitrier.de
)
(
dx.doi.org
)
Citation Context
(3)
...In [
9
], the convergence analysis, in the mean and the mean square sense, of the RI algorithm has been presented in detail...
...It was shown in [
9
] that Eq. (17) can be approximately simplified to...
Mohammad Shukri Ahmad
,
et al.
A 2D recursive inverse adaptive algorithm
...The RI algorithm [1,
2
], was recently proposed to overcome these problems...
...In this paper, we propose a new RI algorithm that is robust to impulsive noise and provides better MSE performance than the recently proposed Robust RLS algorithm [4], with a considerable reduction in the computational complexity [1,
2
]a s shown in Table1...
...In the recently proposed RI algorithm [1,
2
], the coefficientvector update equation is given by...
...where w(k) is the tapweight vector of length N , I is an N × N identity matrix, R(k) is an N × N estimate of the tapinput vector autocorrelation matrix, p(k) is the estimate of the crosscorrelation vector between the desired output signal and the tapinput vector of length N , and μ(k) is the variable stepsize given by [
2
]...
Mohammad Shukri Ahmad
,
et al.
Robust recursive inverse adaptive algorithm in impulsive noise
...where w(k) is the recursive estimate of w given by [5], [
7
]:...
...where μ(k) is the variable stepsize [5], [
7
] defined as:...
...(19) where δ w(k) [
7
] is given by δ w(k )=[ I − μ0Rxx] δ w(k−1)+μ(k)...
Mohammad Shukri Ahmad
,
et al.
The effect of the forgetting factor on the RI adaptive algorithm in sy...
References
(8)
Efficient least squares adaptive algorithms for FIR transversal filtering
(
Citations: 66
)
G.O. Glentis
,
K. Berberidis
,
S. Theodoridis
Journal:
IEEE Signal Processing Magazine  IEEE SIGNAL PROCESS MAG
, vol. 16, no. 4, pp. 1341, 1999
Fast adaptive RLS algorithms: a generalized inverse approach and analysis
(
Citations: 10
)
S. Qiao
Journal:
IEEE Transactions on Signal Processing  TSP
, vol. 39, no. 6, pp. 14551459, 1991
Adaptive tracking of linear timevariant systems by extended RLS algorithms
(
Citations: 108
)
Simon Haykin
,
Ali H. Sayed
,
James R. Zeidler
,
Paul Yee
,
Paul C. Wei
Journal:
IEEE Transactions on Signal Processing  TSP
, vol. 45, no. 5, pp. 11181128, 1997
Generalization of the matrix inversion lemma
(
Citations: 17
)
D. J. Tylavsky
,
G. R. L. Sohie
Journal:
Proceedings of The IEEE  PIEEE
, vol. 74, no. 7, pp. 10501052, 1986
Kalman Filtering and Neural Networks
(
Citations: 243
)
Simon S. Haykin
Published in 2001.
Sort by:
Citations
(3)
A 2D recursive inverse adaptive algorithm
Mohammad Shukri Ahmad
,
Osman Kukrer
,
Aykut Hocanin
Published in 2013.
Robust recursive inverse adaptive algorithm in impulsive noise
Mohammad Shukri Ahmad
,
Osman Kukrer
,
Aykut Hocanin
Published in 2012.
The effect of the forgetting factor on the RI adaptive algorithm in system identification
Mohammad Shukri Ahmad
,
Osman Kukrer
,
Aykut Hocanin
Published in 2011.