An Efficient Adaptive Noise Cancellation Scheme Using ALE and NLMS Filters

Mohammed, Jafar Ramadhan; Shafi, Muhammad Safder; Imtiaz, Sahar; Ansari, Rafay Iqbal; Khan, Muhammad Bilal

doi:10.11591/ijece.v2i3.246

Cited by 16 publications

(11 citation statements)

References 6 publications

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“…This paper focuses on DTW, which is used to find an optimal alignment between two given (time-dependent) sequences under certain restrictions intuitively. DTW feature classifier is useful for isolated word recognition in a limited dictionary, though it has O(n2v), high complexity for larger dictionary [10,12,15]. Hidden Markov Models (HMM) has been widely used in lot of speech recognition applications because of its high reliability [12].…”

Section: Pattern Matchingmentioning

confidence: 99%

A Normalized Least Mean Square and Dynamic Time Warping (DTW) Algorithm for an Intelligent Quran Tutoring System

Mazumder¹,

Salam²

2018

IJET

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Al-Quran is the most recited holy book in the Arabic language. Over 1.3-billion Muslim all over the world have an obligation to recite and learn Al-Quran. Learners from non-Arabic as well as from Arabic speaking communities face difficulties with Al-Quran recitation in the absence of a teacher (ustad) around. Advancement in speech recognition technology creates possible solutions to develop a system that has a capability to auricularly discern and validate the recitation. This paper investigates the speech recognition accuracy of template-based acoustic models and propose enhancement methods to improve the accuracy. A new scheme consists of enhancement of Normalized Least Mean Square (NLMS) and Dynamic Time Warping (DTW) algorithms have been proposed. The performance of the speech recognition accuracy was further improved by incorporating an adaptive optimal filtering with modified humming window for MFCC (Mel-frequency cepstral coefficients) using matching technique dynamic programming (DP), DTW (Dynamic Time Wrapping). The proposed scheme increases 5.5% of relative improvement in recognition accuracy achieved over conventional speech recognition process.

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Section: Pattern Matchingmentioning

confidence: 99%

A Normalized Least Mean Square and Dynamic Time Warping (DTW) Algorithm for an Intelligent Quran Tutoring System

Mazumder¹,

Salam²

2018

IJET

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“…To avoid such an eventuality care over the choice of the parameters and must be exercised. From reference [5], the length of filter must satisfy the condition in Equation (14), where …”

Section: Denoising Schemementioning

confidence: 99%

“…presented one noise reduction system based on two stages of operation with the first stage based on the ALE filters and the second stage on NLMS (Normalized Least Mean Square) filter. The first stage reduces the sinusoidal noise from the input signal and the second stage reduces the wideband noise [5]. S. K. Lee and P. R. White exploits two stage ALE filter structures in series to reduce the level of background noise.…”

Section: Introductionmentioning

confidence: 99%

A Transient Enhancement Method for Two-Stage Helicopter Gearbox Fault Diagnosis Based on ALE

Tian¹,

Wang²,

Chen³

et al. 2013

JSIP

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Periodical impulse component is one of typical fault characteristics in vibration signals from rotating machinery. However, this component is very small in the early stage of the fault and masked by various noises such as gear meshing components modulated by shaft frequency, which make it difficult to extract accurately for fault detection. The adaptive line enhancer (ALE) is an effective technique for separating sinusoidals from broad-band components of an input signal for detecting the presence of sinusoids in white noise. In this paper, ALE is explored to suppress the periodical gear meshing frequencies and enhance the fault feature impulses for more accurate fault diagnosis. The results obtained from simulated and experimental vibration signals of a two stage helical gearbox prove that the ALE method is very effective in reducing the periodical gear meshing noise and making the impulses in vibration very clear in the time-frequency analysis. The results show a clear difference between the baseline and 30% tooth damage of a helical gear which has not been detected successfully in author's previous studies.

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“…Mohammed et al presented a new idea of noise reduction based on two stage: adaptive line enhancer (ALE) and normalized least mean square (NLMS) [1]. He also proposed an adaptive noise canceller for remote health monitoring which was a combination of adaptive notch filter and modified LMS algorithm [2].…”

Section: Introductionmentioning

confidence: 99%

“…and are called dilation and translation parameters respectively and is the coarsest scale in the decomposition. and are the detail and approximation coefficients and they can be calculated by inner products for orthogonal wavelet system as follow [1], [14]:…”

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confidence: 99%

Improved Denoising Method for Ultrasonic Echo with Mother Wavelet Optimization and Best-Basis Selection

Mohammadi¹

2016

IJECE

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Weak features of ultrasonicnondestructive test signals are usually immersed in noisy signals. So, in this paper, we proposed an improved scheme for noise reduction and feature extraction based on discrete wavelet transform. The basis of the mother wavelet was selected to be matched to a given signal. Three different constraints were presented to minimize the error between the denoised and the given signal. It should be mentioned that such an optimum wavelet can represent the signal more compactly with a few large coefficients which can be considered as the signal features. Standard signals and simulated ultrasonic echo were used to evaluate the performance of the presented algorithms. Signal to error ratio was used to compare the designed wavelet performance with that of standard wavelets. Simulation results revealed that the proposed method outperformed the other presented methods and even standard wavelets. The results also has shown that the signal-based noise reduction algorithms make the feature extraction more reliable. Finally, the performance of the proposed algorithm was compared with other methods from different literatures. Keyword:Denoising Discrete wavelet transform Threshold Ultrasonic_NDT

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An Efficient Adaptive Noise Cancellation Scheme Using ALE and NLMS Filters

Cited by 16 publications

References 6 publications

A Normalized Least Mean Square and Dynamic Time Warping (DTW) Algorithm for an Intelligent Quran Tutoring System

A Normalized Least Mean Square and Dynamic Time Warping (DTW) Algorithm for an Intelligent Quran Tutoring System

A Transient Enhancement Method for Two-Stage Helicopter Gearbox Fault Diagnosis Based on ALE

Improved Denoising Method for Ultrasonic Echo with Mother Wavelet Optimization and Best-Basis Selection

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