Discontinuity preserving method for noise removal of multi-carrier signals
نویسنده
چکیده
Sasan Mahmoodi Email: [email protected], Tel: +44 (0) 23 8059 3284, Fax: +44 (0) 23 8059 4498 Abstract: A nonlinear method based on anisotropic diffusion notion is proposed in this paper to remove noise from noisy signals modulated with multiple carrier signals by preserving carrier signals as well as discontinuities present in the original noiseless signals. Gaussian and correlated noise contaminating signals with up to four carriers are considered here. Our algorithm proposed here is implemented with both explicit and semi-implicit discretization schemes. Experiments presented here demonstrate promising results indicating a better performance for our nonlinear noise removal method in comparison with the state-ofart in the literature.
منابع مشابه
Convergence of an Iterative Method for Variational Deconvolution and Impulsive Noise Removal
Image restoration, i.e. the recovery of images that have been degraded by blur and noise, is a challenging inverse problem. A unified variational approach to edge-preserving image deconvolution and impulsive noise removal has been recently suggested by the authors and shown to be effective. It leads to a minimization problem that is iteratively solved by alternate minimization for both the reco...
متن کاملA Unique Approach of Noise Elimination from Electroencephalography Signals between Normal and Meditation State
In this paper, unique approach is presented for the electroencephalography (EEG) signals analysis. This is based on Eigen values distribution of a matrix which is called as scaled Hankel matrix. This gives us a way to find out the number of Eigen values essential for noise reduction and extraction of signal in singular spectrum analysis. This paper gives us an approach to classify the EEG signa...
متن کاملSalt and Pepper Noise Removal using Pixon-based Segmentation and Adaptive Median Filter
Removing salt and pepper noise is an active research area in image processing. In this paper, a two-phase method is proposed for removing salt and pepper noise while preserving edges and fine details. In the first phase, noise candidate pixels are detected which are likely to be contaminated by noise. In the second phase, only noise candidate pixels are restored using adaptive median filter. In...
متن کاملA Feature-Preserving Adaptive Smoothing Method for Early Vision
A novel adaptive smoothing method is proposed for noise removal and feature preservation. Unlike the previous methods, we adopt two proposed measures to detect discontinuities in an image. Spatial variance is employed to form a measure for detecting contextual discontinuities that can be used for feature preservation and control of the smoothing speed, and another measure is proposed to detect ...
متن کاملA nonlinear variational method for signal segmentation and reconstruction using level set algorithm
A nonlinear functional is considered in this letter for segmentation and noise removal of piecewise continuous signals containing binary information contaminated with Gaussian noise. A discontinuity is defined as points in time scale that separates two signal segments with different amplitude spectra. Segmentation and noise removal of a piecewise continuous signal are obtained by deriving equat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Signal Processing
دوره 131 شماره
صفحات -
تاریخ انتشار 2017