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Paper Details
Paper Title
Denoising Techniques for Digital Modulated Signals and an Overview
Authors
Sudipta Nag, Jaspal Bagga
Abstract
Denoising is a process of reduction of noise from signals. There are various techniques of denoising methods for one dimensional signals. Our motivation of this paper is to study and highlight the approaches which has been discussed and analyzed earlier. Based on the study some better methodology with the loop area is suggested where some method for better noise reduction can be applied. A thresholding Blackman windowed Gabor transforms, a robust wavelet-based estimator using a robust loss Function are compared with Gauss-windowed Gabor threshold denoising and wavelet-based denoising, and is found to be superior in most cases .
Keywords- Signals, Denoising, Thresholding Blackman windowed Gabor transforms, Wavelet-based denoising.
Publication Details
Unique Identification Number - IJEDR1503089Page Number(s) - 1-4Pubished in - Volume 3 | Issue 3 | 25 September 2015DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Sudipta Nag, Jaspal Bagga, "Denoising Techniques for Digital Modulated Signals and an Overview", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp.1-4, 25 September 2015, Available at :http://www.ijedr.org/papers/IJEDR1503089.pdf
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