Add to ORKGIn the threshold de-noising method based on wavelet transform, not only the threshold and threshold function, but also the decomposition level is an important factor in practical application. Signals under different noise levels correspond with different optimal decomposition levels. A method to determine the optimal decomposition level based on the white noise verification of wavelet detail coefficients is proposed. The effectiveness of this method is validated by the pressure signal de-noising experiment. Aiming to the need of sample points in hypothesis test, the performance of five hypothesis test methods are simulated and analyzed, and the application rules are summarized.DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.136
Soft thresholding has been a standard wavelet de-noising procedure in many signal and image processi...
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Abstract—This paper introduces a new technique called adaptive wavelet thresholding and wavelet pack...
During the process of signal testing, often exposed to interference and influence of all kinds of no...
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The traditional filtering methods such as median filter and mean filter always blurrs image features...
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In this paper, the complexities of various noises, which are quantified by wavelet energy entropy (W...
AbstractSignals are easily polluted by noises in their transmission process and then they can’t be r...
Due to simple calculation and good denoising effect, wavelet threshold denoising method has been wid...
Abstract. A wavelet threshold denoising method is proposed. The new threshold functions in the metho...
In order to improve the effects of denoising, this paper introduces the basic principles of wavelet ...
De-noising algorithms based on wavelet thresholding replace small wavelet coefficients by zero and k...
Aiming at signal de-noising of fault diagnosis, we need obtain fault signal of high signal to noise ...
Soft thresholding has been a standard wavelet de-noising procedure in many signal and image processi...
With the development of communication technology and network technology, as well as the rising popul...
Abstract—This paper introduces a new technique called adaptive wavelet thresholding and wavelet pack...
During the process of signal testing, often exposed to interference and influence of all kinds of no...
Abstract- In order to enhance the de-noising performance of wavelet thresholding de-noising algorith...
Abstractthe main idea of denoising algorithm based on wavelet adaptive threshold is that speech sign...
The traditional filtering methods such as median filter and mean filter always blurrs image features...
Abstract—This paper is about on denosing by modified thresholding function based on wavelet packet t...
In this paper, the complexities of various noises, which are quantified by wavelet energy entropy (W...
AbstractSignals are easily polluted by noises in their transmission process and then they can’t be r...
Due to simple calculation and good denoising effect, wavelet threshold denoising method has been wid...
Abstract. A wavelet threshold denoising method is proposed. The new threshold functions in the metho...
In order to improve the effects of denoising, this paper introduces the basic principles of wavelet ...
De-noising algorithms based on wavelet thresholding replace small wavelet coefficients by zero and k...
Aiming at signal de-noising of fault diagnosis, we need obtain fault signal of high signal to noise ...
Soft thresholding has been a standard wavelet de-noising procedure in many signal and image processi...
With the development of communication technology and network technology, as well as the rising popul...
Abstract—This paper introduces a new technique called adaptive wavelet thresholding and wavelet pack...