Add to ORKGDuring the process of signal testing, often exposed to interference and influence of all kinds of noise signal, such as data collection and transmission and so may introduce noise. So in practical applications, before analysis of the data measured, the need for de-noising processing. The signal de-noising is a method for filtering the high frequency noise of the signal and makes the signal more precise. This paper deals with the general theory of wavelet transform, the application of wavelet transform in signal de-noising as well as the analysis of the characteristics of noise-polluted signa1. Matlab is used to be carried out the simu1ation where the different wavelet and different threshold of the same wavelet for signal de-noising are ap...
The traditional filtering methods such as median filter and mean filter always blurrs image features...
With many techniques available for image de-noising, the challenge to find the most efficient techni...
Aiming at signal de-noising of fault diagnosis, we need obtain fault signal of high signal to noise ...
In the threshold de-noising method based on wavelet transform, not only the threshold and threshold ...
Wavelet transformation technique was founded to be more appropriate to analyse the AE signals under ...
AbstractSignals are easily polluted by noises in their transmission process and then they can’t be r...
Abstract- In order to enhance the de-noising performance of wavelet thresholding de-noising algorith...
Abstract:-Various wavelet-based noise reduction methods discussed here are replaced by the Phaselet ...
The capacity of the data channels is often reduced due to noise and distortion of the transmitted si...
Traditional techniques for reducing ultrasonic signal noise are based on the optimum frequency of an...
Wavelet transform has introduced innovative changes in different fields of science and engineering. ...
Abstract—In this paper, wavelet packet algorithm was used in the de-noising of underwater acoustic s...
With the development of communication technology and network technology, as well as the rising popul...
Abstract—This paper is about on denosing by modified thresholding function based on wavelet packet t...
In this paper, the principle of denoising with wavelet transform are discussed. The application of w...
The traditional filtering methods such as median filter and mean filter always blurrs image features...
With many techniques available for image de-noising, the challenge to find the most efficient techni...
Aiming at signal de-noising of fault diagnosis, we need obtain fault signal of high signal to noise ...
In the threshold de-noising method based on wavelet transform, not only the threshold and threshold ...
Wavelet transformation technique was founded to be more appropriate to analyse the AE signals under ...
AbstractSignals are easily polluted by noises in their transmission process and then they can’t be r...
Abstract- In order to enhance the de-noising performance of wavelet thresholding de-noising algorith...
Abstract:-Various wavelet-based noise reduction methods discussed here are replaced by the Phaselet ...
The capacity of the data channels is often reduced due to noise and distortion of the transmitted si...
Traditional techniques for reducing ultrasonic signal noise are based on the optimum frequency of an...
Wavelet transform has introduced innovative changes in different fields of science and engineering. ...
Abstract—In this paper, wavelet packet algorithm was used in the de-noising of underwater acoustic s...
With the development of communication technology and network technology, as well as the rising popul...
Abstract—This paper is about on denosing by modified thresholding function based on wavelet packet t...
In this paper, the principle of denoising with wavelet transform are discussed. The application of w...
The traditional filtering methods such as median filter and mean filter always blurrs image features...
With many techniques available for image de-noising, the challenge to find the most efficient techni...
Aiming at signal de-noising of fault diagnosis, we need obtain fault signal of high signal to noise ...