Vol. 2 Issue 2
Year:2014
Issue:Apr-Jun
Title:Signal Denoising Using Dual Tree DWT
Author Name:Ankush Gupta,Kapil Arora,and Guarav Punj
Synopsis:
This paper presents a research on signal denoising scheme. The major approach is to protect a signal from noise.There are many signal denoising techniques which are included. Signal denoising schemes have increasingly studied the demand for real-time secure signal transmission over the Internet and through wireless networks. Traditional signal denoising algorithm without using wavelet has many drawbacks like the distorted denoised signal. The signal amplitude has become too short and signal gets noisy. In this paper, the authors have proposed a new intelligence technique which is wavelet based signal denoising by using Dual Tree DWT in which signal is better denoised on the basis of auto thresold detection. The auto thresold detection takes the maximum value of denoising parameter. The signal is better denoised by using Quasi Static Rayleigh fading. In this approach, the authors used DWT combined with dual density dual tree & hence became double density dual tree DWT (Discrete Wavelet Transform).
Year:2014
Issue:Apr-Jun
Title:Signal Denoising Using Dual Tree DWT
Author Name:Ankush Gupta,Kapil Arora,and Guarav Punj
Synopsis:
This paper presents a research on signal denoising scheme. The major approach is to protect a signal from noise.There are many signal denoising techniques which are included. Signal denoising schemes have increasingly studied the demand for real-time secure signal transmission over the Internet and through wireless networks. Traditional signal denoising algorithm without using wavelet has many drawbacks like the distorted denoised signal. The signal amplitude has become too short and signal gets noisy. In this paper, the authors have proposed a new intelligence technique which is wavelet based signal denoising by using Dual Tree DWT in which signal is better denoised on the basis of auto thresold detection. The auto thresold detection takes the maximum value of denoising parameter. The signal is better denoised by using Quasi Static Rayleigh fading. In this approach, the authors used DWT combined with dual density dual tree & hence became double density dual tree DWT (Discrete Wavelet Transform).
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