Fast convergence transform domain adaptive filter algorithm

Ning, Xiaoling; Liu, Zhong; Feng, Chengxu; Luo, Qinfa

doi:10.3724/sp.j.1187.2011.00240

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…A normalized DCT-LMS algorithm is proposed in literature cite [5], it has good convergence rate and stable convergence performance, however, the initial mean square error is big, besides its convergence rate is worse than that of RLS algorithm. A improved variable step-size LMS algorithm based on Sigmoid function is proposed in literature cite [6], it controls the step size by using of the error correlation value ( ) ( 1)…”

Section: Variable Step-size Lms Algorithm Based On Dctmentioning

confidence: 99%

Variable Step-size LMS Algorithm Based on Discrete Cosine Transform for Voice Signal Denoising

Chen¹

2019

dtcse

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Starting from the characteristic of voice signal itself, a new variable step-size LMS algorithm based on DCT is proposed in order to improve the comprehensive performance in adaptive noise cancellation, which combines the merits of normalized DCT-LMS algorithm and variable step-size LMS algorithm, and give full play to the decorrelation capability of DCT and rapid convergence effect of variable step-size algorithm. The c simulation results show that the new algorithm has faster convergence rate and smaller steady state error compared with traditional LMS and NLMS algorithm, however, the computational complexity is comparable to NLMS algorithm at the same time.

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Section: Variable Step-size Lms Algorithm Based On Dctmentioning

confidence: 99%

Variable Step-size LMS Algorithm Based on Discrete Cosine Transform for Voice Signal Denoising

Chen¹

2019

dtcse

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“…In order to reduce the complexity of computing filter coefficient vector H N * , Widrow presents a kind of effective simplified method [13,14].…”

Section: ( ) [ ( ) ( )] E N Y N Y N mentioning

confidence: 99%

Improvement of P&O MPPT Method for Photovoltaic System Based on Adaptive Prediction Algorithm

Fu¹,

Cheng²,

Liu³

et al. 2012

AMM

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To utilize maximum solar energy, maximum power point tracking (MPPT) control is much important for PV system. The paper presents a new MPPT method based on adaptive predictive algorithm which is superior to traditional Perturbation and Observation (P&O) method. PV output power is predicted to improve the tracking speed and deduce the possibility of misjudgment of increasing or decreasing the PV output voltage. Because PV output power can be obtained directly, close loop can be established so as to achieve a precise prediction. Simulations and experiments prove that proposed MPPT control can track the maximum power point rapidly, and the system can operate steadily with this MPPT method.

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Cosine function variable step-size transform domain least mean square algorithm based on matrix rotation

Ning,

Zhang,

Zhu

2023

AIP Advances

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A novel cosine function variable step-size transform domain least mean square (LMS) algorithm based on matrix rotation (COS-ROTDCT-LMS-DFE) was put forward. Based on the discrete cosine transform domain LMS (DCT-LMS) algorithm, it was first processed by matrix rotation in an anticlockwise direction to resolve the problem of self-interference between signals, which effectively sped up the convergence of the algorithm. Subsequently, a cosine function variable step-size algorithm was developed considering that its curve was characterized by a smooth top and fast rising and falling speed so as to further improve the convergence speed of the algorithm. Subsequently, the decision feedback equalizer (DFE) was introduced into the algorithm to compensate signal distortion and noise. The convergence performance of the algorithm was simulated in typical multipath underwater acoustic channels. The simulation results showed that the convergence performance of the new algorithm was equivalent to that of recursive least squares (RLS). The convergence speed of COS-ROTDCT-LMS-DFE was even better than that of the recursive least square decision feedback equalizer (RLS-DFE) algorithm. The new algorithm performed well in terms of both convergence speed and steady-state error and could be easily implemented.

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Fast convergence transform domain adaptive filter algorithm

Cited by 5 publications

References 9 publications

Variable Step-size LMS Algorithm Based on Discrete Cosine Transform for Voice Signal Denoising

Variable Step-size LMS Algorithm Based on Discrete Cosine Transform for Voice Signal Denoising

Improvement of P&O MPPT Method for Photovoltaic System Based on Adaptive Prediction Algorithm

Cosine function variable step-size transform domain least mean square algorithm based on matrix rotation

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