The feedback is introduced into the neural network to improve control performance, so it can control the step-size variation of blind equalization suitably.

The feedback is introduced into the neural network to improve control performance, so it can control the step-size variation of blind equalization suitably.

Abstract. In this paper, a new blind equalization algorithm based on the feedback neural network is proposed. The feedback is introduced into the neural.

Based on this environment, a complex-valued blind equalization algorithm using feedforward neural network is brought forward. Aiming at the defects that ...

Abstract: In this chapter, the basic principles and structure types of feedback neural network (FBNN) are introduced. The blind equalization algorithms ...

The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent.

Abstract: A new approach to decision-directed (DD) blind equalization is introduced based on a neural network classification technique. The new DD algorithm ...

This paper presents general guidelines for applying neural networks (NNs) to blind equalization. Firstly, basic concepts and practical issues related to NNs ...

This letter considers the problem of blind equalization in digital communications by using linear neural network. Unlike most adaptive blind equalization ...

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