Quantifying and Reducing the Signal Noise Using Nonlinear Stochastic Difference Equations

Sebastian Elizabeth; Ramakrishnan Jothilakshmi

doi:10.4028/www.scientific.net/AMM.573.489

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 573Quantifying and Reducing the Signal Noise Using...

Quantifying and Reducing the Signal Noise Using Nonlinear Stochastic Difference Equations

Abstract:

This paper deals with quantification of the noise located in the digital signal by an innovative process. This process is associated with the filter that represents the novel information conveyed by the desired signal, residual interference and residual noise which are used to reduce the noise. A typical uniform quantization operation of a sampled signal is identified and interpreted with the framework of stochastic difference equation. A new theorem is proposed with all possible assumptions to support our result to signal noise ratio. AMS [200] Subject Classification: 39A10, 39A30, 39A60, 39B82, 39B99.

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Periodical:

Applied Mechanics and Materials (Volume 573)

Pages:

489-494

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.573.489

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Online since:

June 2014

Authors:

Sebastian Elizabeth, Ramakrishnan Jothilakshmi*

Keywords:

Correlation Matrix, Filter, Signal Noise Ratio, Stochastic Difference Equation

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* - Corresponding Author

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