News Updates Thursday 13th Dec 2018 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of Nov/Dec 2018 extended to 15 Dec 2018, Submit online or at
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

De-noising of 1-D Signals using Fourier Transform and Haar Wavelet

Author : Prashant Vichare, Sahil C Shah and Shreyas Darne

Pages : 3636-3639
Download PDF

Signal recovery and noise reduction are closely related signal processing problems of both theoretical and practical interests. In this project, these classical problems are studied with two tools- Fourier Transform and Wavelets. The filtering of time series data for the purpose of removing unwanted signal components is of interest to a wide variety of science disciplines. The process of mapping a time series into the frequency domain via the Fourier transform is used to separate the signal characteristics from that of the noise. In Wavelet thresholding methods in which the wavelet coefficients are threshold in order to remove their noisy part. This project report presents and discusses two de-noising methods. Their main features and limitations are discussed. A signal contaminated with Additive White Gaussian Noise (AWGN) is used for performance evaluation and simulation results are provided.

Keywords: Filtering, thresholding, de-noising.

Article published in International Journal of Current Engineering and Technology, Vol.4, No.5 (Oct-2014)


Call for Papers
  1. IJCET- Nov/Dec 2018 Issue

    Submission Last Date
    15 Dec
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-Dec-2018
  5. IJAIE-Dec-2018
  6. IJCSB-Dec-2018
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2018 INPRESSCO® All Rights Reserved