A New Variable Step-Size NLMS Algorithm and Its Performance Analysis

Huang, Hsu-Chang; Lee, Junghsi

doi:10.1109/tsp.2011.2181505

Cited by 201 publications

(84 citation statements)

References 8 publications

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“…Required dynamic range with a limited feedback can be achieved by nonlinear quantization of feedback signaling [26] and variable step (VS) algorithms [27][28][29][30]. Nonlinear AGC control can be exponential or approximately exponential [3].…”

Section: Related Literaturementioning

confidence: 99%

“…Many variable step size LMS algorithms have been proposed in order to improve the performance of the LMS algorithm by using large step sizes in the early stages of the adaptive process and small step sizes when the system approaches convergence [27][28][29][30]. The step size can be adapted, e.g., based on the received signal power [11] or the squared error signal [19,20].…”

Section: Related Literaturementioning

confidence: 99%

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A unified framework for adaptive inverse power control

Höyhtyä

Mämmelä

2016

J Wireless Com Network

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In this paper, a unified framework for adaptive inverse power control is developed. It is based on a modified filtered-x least mean square (MFxLMS) algorithm that is proposed and analyzed. A practical version of the algorithm for closed loop power control is also developed. The filtered-x least mean square (FxLMS) algorithm is widely used for inverse control such as noise cancelation. This is the first paper to apply the algorithm for power control. We have modified the conventional FxLMS algorithm by adding absolute value blocks since power control does not need phase information. The modification makes the algorithm more robust and requires fewer bits to be transmitted in the feedback link. The main contribution of the paper is that the proposed algorithm can be seen as generalized inverse control to be used in power control research. It gives a unified framework for several existing algorithms, linking them to the least mean square (LMS) literature. Numerical results are provided, comparing the performance of the proposed algorithm to existing practical algorithms used, e.g., in Third Generation Partnership Project (3GPP) long-term evolution (LTE) systems.

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Section: Related Literaturementioning

confidence: 99%

Section: Related Literaturementioning

confidence: 99%

A unified framework for adaptive inverse power control

Höyhtyä

Mämmelä

2016

J Wireless Com Network

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“…The authors H.chang et al [4] proposed "A Variable Step size NLMS algorithm and its performance analysis".…”

Section: Existing Workmentioning

confidence: 99%

Study of Different Adaptive Filter Algorithms for Noise Cancellation in Real-Time Environment

ChandraSekharYadav¹,

Krishna²

2014

IJCA

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Adaptive filters are used in the situation where the filter coefficients have to be changed simultaneously according to the requirement. Adaptive filters are needed for fast convergence rate and low mean square error. Many algorithms have been proposed and proved that they have better convergence speed and tracking abilities. This paper shows the ability of adaptive filter for noise cancellation i.e., estimating the desired speech corrupted by unwanted signal i.e., noise. This paper is going to compare the performance of adaptive algorithms for noise cancellation in real time signals like recorded speech with different background noise. In the existing papers the authors have taken the input signal as sinusoidal signal etc. In order to measure the performance step size is the main factor for the convergence speed and mean square error. Many analyses proved that RLS algorithm had faster convergence speed and smaller steady state error compared with basic LMS algorithm and normalized LMS algorithm (NLMS). The existing simulation results enable to measure the performance of filter and show the convergence speed improvement when using RLS algorithm, NLMS algorithm and LMS algorithm.

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“…Conventional filters,for example, the finite impulse response (FIR) filters [11], infinite impulse response (IIR) filters [12], filter banks [13], polynomial filter [14] and wiener filter are proposed in the literature to limit artifacts. Different methodologies for ECG denoising include adaptive filters, namely the least mean square (LMS) and their variants such as normalized least mean square (NLMS), variable step size least mean square (VSLMS) and variable step size normalized least mean square (VSNLMS) [15,16,17,18,19,20,21,22,23,24,25,26,27]etc.,. A few researchers like wise recommended adaptive kalman filter and extended kalman filter.…”

Section: Introductionmentioning

confidence: 99%

“…However NLMS algorithm [23] overcomes the drawback of constant step size parameter by varying at every iteration in accordance with every instant of the signal. The drawback of VSLMS algorithm is overcome by VSNLMS algorithm by calculating instantaneous input signal energy at every iteration [26].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of two stage adaptive FIR Filter Algorithms for PLI and BW artifact cancellation in ECG

Rao¹,

Rao²

2018

IJET

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Electrocardiogram (ECG) is a measure of the electrical movement of the heart, and is obtained by surface electrodes at standardized locations on the patient's chest. During acquisition, various artifacts/noises such as power-line interference (PLI), baseline wander (BW), muscle artifacts (MA) and motion artifacts (EM) obscure the ECG. It is important that these artifacts are minimized for the clinicians to make better diagnosis on heart problems. This paper researches the creative idea of adaptive noise cancellation (ANC) using two stage form of adaptive filters. The concept of cascading and its algorithm for real-time application is simulated on MATLAB. The proposed algorithm utilizes two adaptive filters to estimate gradients accurately which results in good adaptation and performance. The objective of the present investigation is to provide solution in order to improve the performance of noise canceller in terms of filter parameters which are obtained with the help of adaptive algorithms. Different kinds of two stage ANC algorithms are used to eliminate artifacts in ECG by considering the noises such as power line interference and baseline wander. The simulation results show that the performance of the two stage ANC is superior to the conventional single stage ANC system in terms of higher signal-to-noise ratio. Two stage adaptive algorithms are applied on real time ECG signals and compared their performance with the conventional single stage adaptive algorithms in terms of parameters Signal-to-Noise Ratio (SNR), Mean Square Error (MSE), Root Mean Square Error (RMSE) and Distortion.

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A New Variable Step-Size NLMS Algorithm and Its Performance Analysis

Cited by 201 publications

References 8 publications

A unified framework for adaptive inverse power control

A unified framework for adaptive inverse power control

Study of Different Adaptive Filter Algorithms for Noise Cancellation in Real-Time Environment

Performance analysis of two stage adaptive FIR Filter Algorithms for PLI and BW artifact cancellation in ECG

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