Recursive Levenberg-Marquardt Per-Tone Equalisation for Discrete Multitone systems

Sitjongsataporn, Suchada; Yuvapoositanon, Peerapol

doi:10.1109/isccsp.2008.4537381

Cited by 3 publications

(10 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, we introduce the proposed RLM algorithm that optimizes the following least square cost function , using the forgetting-factor mechanism [17], [18] as:…”

Section: Proposed Identification Methodsmentioning

confidence: 99%

“…The second derivative of the cost function in Equation (4) with respect to , known as the Hessian matrix , can be approximated classically [17], [18] by (7) represents the output sensitivity function defined by partial derivative of the predicted output with respect to the parameters vector as:…”

Section: Proposed Identification Methodsmentioning

confidence: 99%

“…Hence, the regularization parameter is also adaptively adjusted with the following criterion [18]: (14) where the numbers and are chosen so that the -values cannot oscillate [24].…”

Section: Proposed Identification Methodsmentioning

confidence: 99%

“…The RLM method was proposed and successfully applied to various fields [17], [18], [19]. In [17], RLM algorithm has been presented for on-line training of neural nets for nonlinear adaptive filtering.…”

Section: Introductionmentioning

confidence: 99%

“…In [17], RLM algorithm has been presented for on-line training of neural nets for nonlinear adaptive filtering. Leading to improve performance, the adaptive RLM algorithm has been proposed in [18] for per-tone equalisation in discrete multitone systems.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

On -Line Stator Winding Inter -Turn Short -Circuits Detection in Induction Motors Using Recursive Levenberg -Marquardt Algorithm

Kouadri¹

2017

ijeei

View full text Add to dashboard Cite

Within the framework of the diagnosis of the stator windings faults, the authors propose in this paper a recursive diagnosis method for on-line detection and location of an inter-turn short-circuit by parameters identification. This approach based on the Recursive Levenberg-Marquardt (RLM) algorithm is used for the minimization of the objective function represented by the quadratic criterion obtained by the difference between the real outputs and their estimations. Tests and validations of failure detection by parameter identification require a model suited for fault modelling. For this purpose, a faulty induction motor model is proposed. Electric parameters of this model as well as fault parameters are estimated by RLM adaptive algorithm through an output-error technique. Because the parameters values of this model present magnitude order very different, the normalization of these parameters is proposed in order to obtain the sensitivity functions with the same magnitude order. The estimation results, which used simulated data, are presented to show the effectiveness and the advantage of the proposed approach for use in real-time stator faults diagnosis.

show abstract

“…Therefore, we introduce the proposed RLM algorithm that optimizes the following least square cost function , using the forgetting-factor mechanism [17], [18] as:…”

Section: Proposed Identification Methodsmentioning

confidence: 99%

Section: Proposed Identification Methodsmentioning

confidence: 99%

“…Hence, the regularization parameter is also adaptively adjusted with the following criterion [18]: (14) where the numbers and are chosen so that the -values cannot oscillate [24].…”

Section: Proposed Identification Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

On -Line Stator Winding Inter -Turn Short -Circuits Detection in Induction Motors Using Recursive Levenberg -Marquardt Algorithm

Kouadri¹

2017

ijeei

View full text Add to dashboard Cite

show abstract

An adaptive inverse-QR recursive Levenberg-Marquardt algorithm

Nakornphanom

Sitjongsataporn

2013

2013 13th International Symposium on Communications and Information Technologies (ISCIT)

View full text Add to dashboard Cite

Bit Rate Maximising Per-Tone Equalisation with Adaptive Implementation for DMT-Based Systems

Sitjongsataporn

Yuvapoositanon

2009

EURASIP J. Adv. Signal Process.

Self Cite

View full text Add to dashboard Cite

We present a bit rate maximising per-tone equalisation (BM-PTEQ) cost function that is based on an exact subchannel SNR as a function of per-tone equaliser in discrete multitone (DMT) systems. We then introduce the proposed BM-PTEQ criterion whose derivation for solution is shown to inherit from the methodology of the existing bit rate maximising time-domain equalisation (BM-TEQ). By solving a nonlinear BM-PTEQ cost function, an adaptive BM-PTEQ approach based on a recursive Levenberg-Marquardt (RLM) algorithm is presented with the adaptive inverse square-root (iQR) algorithm for DMT-based systems. Simulation results confirm that the performance of the proposed adaptive iQR RLM-based BM-PTEQ converges close to the performance of the proposed BM-PTEQ. Moreover, the performance of both these proposed BM-PTEQ algorithms is improved as compared with the BM-TEQ.

show abstract

Recursive Levenberg-Marquardt Per-Tone Equalisation for Discrete Multitone systems

Cited by 3 publications

References 17 publications

On -Line Stator Winding Inter -Turn Short -Circuits Detection in Induction Motors Using Recursive Levenberg -Marquardt Algorithm

On -Line Stator Winding Inter -Turn Short -Circuits Detection in Induction Motors Using Recursive Levenberg -Marquardt Algorithm

An adaptive inverse-QR recursive Levenberg-Marquardt algorithm

Bit Rate Maximising Per-Tone Equalisation with Adaptive Implementation for DMT-Based Systems

Contact Info

Product

Resources

About