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Discontinuity Preserving Noise Removal Method based on Anisotropic Diffusion for Band Pass Signals

Discontinuity Preserving Noise Removal Method based on Anisotropic Diffusion for Band Pass Signals
Discontinuity Preserving Noise Removal Method based on Anisotropic Diffusion for Band Pass Signals
nonlinear discontinuity-preserving method for noise removal for band pass signals such as signals modulated with Binary Phase-Shift Keying (BPSK) modulation is proposed in this paper. This method is inspired by the anisotropic diffusion algorithm to remove noise and preserve discontinuities in band pass signals modulated with a single frequency. It is demonstrated here that nonlinear noise removal method for a real valued band pass signal requires a solution for a nonlinear partial differential equation which is of fourth order in space and second order in time. The results presented in this work show better performance in nonlinear noise removal for real valued band pass signals in comparison with the previous work in the literature.
362-366
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf

Mahmoodi, Sasan (2013) Discontinuity Preserving Noise Removal Method based on Anisotropic Diffusion for Band Pass Signals. IEEE 15th International Workshop on Multimedia Signal Processing, Pula(Sardinia), Italy. pp. 362-366 .

Record type: Conference or Workshop Item (Paper)

Abstract

nonlinear discontinuity-preserving method for noise removal for band pass signals such as signals modulated with Binary Phase-Shift Keying (BPSK) modulation is proposed in this paper. This method is inspired by the anisotropic diffusion algorithm to remove noise and preserve discontinuities in band pass signals modulated with a single frequency. It is demonstrated here that nonlinear noise removal method for a real valued band pass signal requires a solution for a nonlinear partial differential equation which is of fourth order in space and second order in time. The results presented in this work show better performance in nonlinear noise removal for real valued band pass signals in comparison with the previous work in the literature.

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e-pub ahead of print date: 30 September 2013
Venue - Dates: IEEE 15th International Workshop on Multimedia Signal Processing, Pula(Sardinia), Italy, 2013-09-29
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 354549
URI: http://eprints.soton.ac.uk/id/eprint/354549
PURE UUID: 3b526b39-6bbe-4022-bf50-1654f2940de7

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Date deposited: 15 Jul 2013 09:51
Last modified: 06 Oct 2020 23:26

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