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Spectral Estimation Using Improved Recursive Least Square (RLS) Algorithm: An Investigational Study
2015In the area of signal processing, spectral efficiency has played a contributory role for analyzing the spectrum with respect to time and frequency. For the purpose of enhancing the spectrum to maximize the amount of signal to be transmitted on minimal transmission errors, there are significant research works being introduced in last decades.
Kantipudi M. V. V. Prasad, H. N. Suresh
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International Journal of High Speed Electronics and Systems, 1993
Total least squares parameter estimation is an alternative to least squares estimation though much less used in practice, partly due to the absence of efficient recursive algorithms or parallel architectures. Here it is shown how previously developed systolic algorithms/architectures for recursive least squares estimation can be used for recursive ...
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Total least squares parameter estimation is an alternative to least squares estimation though much less used in practice, partly due to the absence of efficient recursive algorithms or parallel architectures. Here it is shown how previously developed systolic algorithms/architectures for recursive least squares estimation can be used for recursive ...
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IEEE Transactions on Industry Applications, 2012
Signal estimation is important for protection, system study and control purposes. This paper deals with the application of a Recursive Least Square (RLS) algorithm with variable forgetting factor for estimation of frequency components in a generic input signal.
Mebtu Beza, Massimo Bongiorno
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Signal estimation is important for protection, system study and control purposes. This paper deals with the application of a Recursive Least Square (RLS) algorithm with variable forgetting factor for estimation of frequency components in a generic input signal.
Mebtu Beza, Massimo Bongiorno
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2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004
The recursive least squares (RLS) adaptive algorithm is combined with the "adaptive threshold nonlinear algorithm" (ATNA) proposed by the author (Koike, S., IEEE Trans. Sig. Processing, vol.45, p.2391-5, 1997), to derive RLS-ATNA, resulting in improvement of the convergence rate of the ATNA that offers robust adaptive filters in impulse noise ...
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The recursive least squares (RLS) adaptive algorithm is combined with the "adaptive threshold nonlinear algorithm" (ATNA) proposed by the author (Koike, S., IEEE Trans. Sig. Processing, vol.45, p.2391-5, 1997), to derive RLS-ATNA, resulting in improvement of the convergence rate of the ATNA that offers robust adaptive filters in impulse noise ...
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International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007), 2007
Suneeta V Budihal, R.M. Banakar
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Suneeta V Budihal, R.M. Banakar
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The Arithmetic Optimization Algorithm
Computer Methods in Applied Mechanics and Engineering, 2021Laith Mohammad Abualigah +2 more
exaly
The Whale Optimization Algorithm
Advances in Engineering Software, 2016Seyedali Mirjalili, Andrew J Lewis
exaly

