Development of Nonlinear Filtering Algorithms of Digital Half-Tone Images

Development of Nonlinear Filtering Algorithms of Digital Half-Tone Images

E. P. Petrov (Vyatka State University, Russia), I. S. Trubin (Vyatka State University, Russia), E. V. Medvedeva (Vyatka State University, Russia) and S. M. Smolskiy (Moscow Power Engineering Institute, Russia)
DOI: 10.4018/978-1-4666-2208-1.ch013
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Abstract

This chapter is devoted to solving the problem of algorithms and structures investigations for Radio Receiver Devices (RRD) with the aim of the nonlinear filtering of Digital Half-Tone Images (DHTI) representing the discrete-time and discrete-value random Markovian process with a number of states greater than two. At that, it is assumed that each value of the DHTI element is represented by the binary g-bit number, whose bits are transmitted via digital communication links in the presence of Additive White Gaussian Noise (AWGN). The authors present the qualitative analysis of the optimal DHTI filtering algorithm. The noise immunity of the optimal radio receiver device for the DHTI filtering with varying quantization and dimension levels is investigated.
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Equations Of One-Dimension Nonlinear Filtering Of The Discrete-Value Markovian Processes

Now we suppose that a discrete parameter of pulse correlated signals, which are adequate to elements of static and dynamic DHTI, represents the uniform Markovian chain with the finite state number and the finite dimension. It is necessary to obtain the filtering equations of such signals and to synthesize the filtering device structures for DHTI recovering, which are distorted by the additive WGN with zero mean value and the variance

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