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What is Gaussian Noise

Handbook of Research on Mobile Software Engineering: Design, Implementation, and Emergent Applications
Is the additive noise that arises from electronic components and amplifiers in a receiver. This noise can be modeled as a Gaussian noise process (Gaussian process has the flat or constant PSD over the entire frequency range).It applies for a broad class of physical communication channels as the mathematical tractability is good. The resulting mathematical model is called AWGN.
Published in Chapter:
Modulation Recognition for Software Defined Radio Signal
Sudhar Sophia (Sri Krishna College of Engineering & Technology, India), M. Madheswaran (Muthayammal College of Engineering, India), and S. Sasikumar (Hindustan College of Engineering & Technology, India)
DOI: 10.4018/978-1-61520-655-1.ch023
Abstract
Software Defined Radio (SDR) is the foundation for universal wireless devices. To realize SDR system, the parameters like carrier frequency, symbol rate, and modulation scheme should be reconfigured by the adaptive receiver. Automatic modulation recognition (AMR) algorithm has to identify the modulation scheme of a transmitted signal with a high probability of success within a short observation time. Blind recognition algorithms are useful in identifying the modulation type without any prior knowledge of the transmitted signal parameters. The blind modulation detection determines the type of modulation within the information conveyed by the least possible number of received samples. Therefore, the objective is to make use of the distribution of data or errors to make a statistical inference about type of modulation used.
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Biometric Identification System Using Neuro and Fuzzy Computational Approaches
It is statistical noise that has a probality density function of the normal distribution. It means, the values that the noise can take on are gaussian distribution.
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