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Noise removal is an important step in communication and signal processing. Amplitude modulated signals in communication are usually associated with some vital features such as discontinuities and carrier signals. Linear methods remove noise from such signals but they also distort the original signals by removing some of these vital features. This book presents nonlinear techniques based on anisotropic diffusion to remove noise from amplitude modulated signals and preserve these vital features in such signals.

Produktbeschreibung
Noise removal is an important step in communication and signal processing. Amplitude modulated signals in communication are usually associated with some vital features such as discontinuities and carrier signals. Linear methods remove noise from such signals but they also distort the original signals by removing some of these vital features. This book presents nonlinear techniques based on anisotropic diffusion to remove noise from amplitude modulated signals and preserve these vital features in such signals.
Autorenporträt
Sasan Mahmoodi received PhD Degree from University of Newcastle in 1998. In 1999, he held a Research Fellowship post in Mathematical Analysis of Human Vision in the same university. He joined University of Southampton in 2007 as an assistant Professor. His current research interests are in the modelling of biological vision and medical imaging.