Speech enhancement by noise driven adaptation of perceptual scales and thresholds of continuous wavelet transform coefficients

Swami, Preety D.; Sharma, Reecha; Jain, Alok; Swami, D.K.

doi:10.1016/j.specom.2015.02.007

Cited by 22 publications

(5 citation statements)

References 23 publications

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“…In this article, DE is used to characterize the noise content, and the DE algorithm can be applied to determine the number of wavelet packet decomposition layers. The specific steps are as follows.Set the initial decomposition layer to u=2 and the maximum decomposition layer to umax=6 (Swami et al, 2015). 2.…”

Section: Modified Ceemdan Algorithmmentioning

confidence: 99%

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A method for degradation features extraction of diesel engine valve clearance based on modified complete ensemble empirical mode decomposition with adaptive noise and discriminant correlation analysis feature fusion

Song

et al. 2021

Journal of Vibration and Control

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The health assessment of the valve clearance is a key link to realize the failure prediction and health management of the valve mechanism. To accurately evaluate the state of valve clearance, this article proposes a diesel engine valve clearance degradation feature extraction method based on modified complete ensemble empirical mode decomposition with adaptive noise and discriminant correlation analysis feature fusion algorithm. First, we use modified complete ensemble empirical mode decomposition with adaptive noise to adaptively filter the cylinder head vibration signal. Then, power spectrum entropy and improved hierarchical dispersion entropy are proposed as degenerate feature entropy. To improve the sensitivity of the degraded feature entropy to the degraded state, the discriminant correlation analysis algorithm is used to fuse the two types of feature entropy to obtain fused degraded feature entropy. Finally, the degenerate fusion features are input into the least squares support vector machine to realize the health status assessment of the valve mechanism. Through the verification of test data, the results show that the proposed method can effectively evaluate the health state of the valve clearance of diesel engines.

show abstract

Section: Modified Ceemdan Algorithmmentioning

confidence: 99%

“…Set the initial decomposition layer to u=2 and the maximum decomposition layer to umax=6 (Swami et al, 2015).…”

Section: Modified Ceemdan Algorithmmentioning

confidence: 99%

A method for degradation features extraction of diesel engine valve clearance based on modified complete ensemble empirical mode decomposition with adaptive noise and discriminant correlation analysis feature fusion

Song

et al. 2021

Journal of Vibration and Control

View full text Add to dashboard Cite

show abstract

“…In recent years, the wavelet transform has been a signal processing technique widely used in several fields such as data compression, fingerprint verification, speaker and face recognition, DNA and protein analysis, blood pressure, heart rate and ECG analysis, and speech de-noising [24][25].…”

Section: Wavelet Transformmentioning

confidence: 99%

Selection of Optimum Mother Wavelet Function for Turkish Phonemes

Engin

Arslan

2019

International Journal of Applied Mathematics Electronics and Computers

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In this paper, we propose the selection of most suitable mother wavelet function for Turkish phonemes using discrete wavelet transform. The determination of most similar mother wavelet function to the signal has been a challenge in speech processing. The optimum mother wavelet function for Turkish phonemes have been determined by using quantitative measures which were energy and Shannon entropy, information theoretic measures which were joint entropy, conditional entropy, mutual information, and relative entropy from wavelet coefficients of the phonemes. In this study, 101 potential functions were investigated to determine the most appropriate mother wavelet. Experimental results showed that the most appropriate wavelet functions for /ç/ and /ş/ phonemes which are unvoiced fricatives have been found as Reverse Bi-orthogonal 3.9 (rbio3.9) and Reverse Bi-orthogonal 5.5 (rbio5.5), respectively. By considering all the results, it was seen that the Bi-orthogonal 3.1 (bior3.1) and Discrete Meyer (dmey) wavelet functions were the most suitable mother wavelets for all other phonemes.

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“…The Wavelet transform is a time-frequency analysis technique which has been widely used in signal analysis and processing [17,18,19]. Due to its ability to decompose locally the signal into different scale/frequencies, CWT highlights the region of interest, where the local frequency corresponds to the carrier frequency of the CSI signal.…”

Section: Continuous Wavelet Transform (Cwt)mentioning

confidence: 99%

Comparison of envelope detection techniques in coherence scanning interferometry

2016

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The aim of this work is to make a comparison of the most current signal processing techniques used to analyze the fringe signal in coherence scanning interferometry (CSI), a major technique for optical surface roughness measurements. We focus here on classical AM-FM signal-processing algorithms such as the Hilbert transform (HT), the five-sample adaptive (FSA), and the continuous wavelet transform (CWT). We have recently also introduced a new family of compact and robust algorithms using the Teager-Kaiser energy operator (TKEO). We propose an improved version of TKEO using a combination of different techniques of pre-filtering and demodulation processing to remove the noise and offset component and to retrieve the fringe envelope to either determine the surface height information or to separate adjacent transparent layers. In particular, as a pre-filtering approach, we have focused on empirical mode decomposition in combination with the Savitzky-Golay filter. An added Gaussian post-filtering is helpful for a precise peak extraction. The experimental results show that TKEO performs better than CWT in terms of computation time and provides a better surface extraction than HT and FSA. Results have been obtained on synthetic and real data taken from a layer of resin on a silicon substrate.

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Speech enhancement by noise driven adaptation of perceptual scales and thresholds of continuous wavelet transform coefficients

Cited by 22 publications

References 23 publications

A method for degradation features extraction of diesel engine valve clearance based on modified complete ensemble empirical mode decomposition with adaptive noise and discriminant correlation analysis feature fusion

A method for degradation features extraction of diesel engine valve clearance based on modified complete ensemble empirical mode decomposition with adaptive noise and discriminant correlation analysis feature fusion

Selection of Optimum Mother Wavelet Function for Turkish Phonemes

Comparison of envelope detection techniques in coherence scanning interferometry

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