Wavelet packet-based subband adaptive equalization

González–Prelcic, Nuria; González, Fernando P. Méndez; Jiménez, María Elena Domínguez

doi:10.1016/s0165-1684(01)00077-9

Cited by 15 publications

(2 citation statements)

References 11 publications

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“…Adaptive filters provide the best estimate of clean signals with automatic performance adaptation. Adaptive algorithms employed in adaptive filters track the dynamic variations in the signal and modify their behavior according to the input signal; therefore, they are used in several applications, including echo [ 17 , 18 ] and noise cancellation [ 19 ], noise reduction [ 20 ], signal enhancement [ 21 , 22 ] adaptive equalization [ 23 ], and line enhancement [ 24 ]. The fundamental Adaptive Noise Canceller is depicted in Figure 1 .…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost Multistage Cascaded Adaptive Filter Configuration for Noise Reduction in Phonocardiogram Signal

Pauline

Dhanalakshmi

Kumar

et al. 2022

Journal of Healthcare Engineering

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Phonocardiogram (PCG), the graphic recording of heart signals, is analyzed to determine the cardiac mechanical function. In the recording of PCG signals, the major problem encountered is the corruption by surrounding noise signals. The noise-corrupted signal cannot be analyzed and used for advanced processing. Therefore, there is a need to denoise these signals before being employed for further processing. Adaptive Noise Cancellers are best suited for signal denoising applications and can efficiently recover the corrupted PCG signal. This paper introduces an optimal adaptive filter structure using a Sign Error LMS algorithm to estimate a noise-free signal with high accuracy. In the proposed filter structure, a noisy signal is passed through a multistage cascaded adaptive filter structure. The number of stages to be cascaded and the step size for each stage are adjusted automatically. The proposed Variable Stage Cascaded Sign Error LMS (SELMS) adaptive filter model is tested for denoising the fetal PCG signal taken from the SUFHS database and corrupted by Gaussian and colored pink noise signals of different input SNR levels. The proposed filter model is also tested for pathological PCG signals in the presence of Gaussian noise. The simulation results prove that the proposed filter model performs remarkably well and provides 8–10 dB higher SNR values in a Gaussian noise environment and 2-3 dB higher SNR values in the presence of colored noise than the existing cascaded LMS filter models. The MSE values are improved by 75–80% in the case of Gaussian noise. Further, the correlation between the clean signal and its estimate after denoising is more than 0.99. The PSNR values are improved by 7 dB in a Gaussian noise environment and 1-2 dB in the presence of pink noise. The advantage of using the SELMS adaptive filter in the proposed filter model is that it offers a cost-effective hardware implementation of Adaptive Noise Canceller with high accuracy.

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Section: Introductionmentioning

confidence: 99%

A Low-Cost Multistage Cascaded Adaptive Filter Configuration for Noise Reduction in Phonocardiogram Signal

Pauline

Dhanalakshmi

Kumar

et al. 2022

Journal of Healthcare Engineering

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“…Wavelet packet transform (WPT) is an important process in feature extraction [1], where the goal is to project the input data onto a feature space which can reflect the important inherent structure of the original data.…”

Section: Introductionmentioning

confidence: 99%

A Novel Feature Extraction Method Using Ant Colony Clustering Analysis

Zhao

Yan

2010

AMM

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A novel feature extraction method is presented by combining wavelet packet transform with ant colony clustering analysis in this paper. Vibration signals acquired from equipments are decomposed by wavelet packet transform, after which frequency bands of signals are clustered by ant colony algorithm, and each cluster as a set of data is analyzed in frequency-domain for extracting intrinsic features reflecting operating condition of machinery. Furthermore, the robust ant colony clustering algorithm is proposed by adjusting comparing probability dynamically. Finally, effectiveness and feasibility of the proposed method are verified by vibration signals acquired from a rotor test bed.

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Cascade–Cascade Least Mean Square (LMS) Adaptive Noise Cancellation

Maurya

2017

Circuits Syst Signal Process

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Wavelet packet-based subband adaptive equalization

Cited by 15 publications

References 11 publications

A Low-Cost Multistage Cascaded Adaptive Filter Configuration for Noise Reduction in Phonocardiogram Signal

A Low-Cost Multistage Cascaded Adaptive Filter Configuration for Noise Reduction in Phonocardiogram Signal

A Novel Feature Extraction Method Using Ant Colony Clustering Analysis

Cascade–Cascade Least Mean Square (LMS) Adaptive Noise Cancellation

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