The application of the neural network on Morse code recognition for users with physical impairments

Morse code is a simple, speedy and low cost means of communication composed of a series of dots, dashes and space intervals. Each tone element (either a dot, dash or space interval) is transmitted by sending a signal for a de fined length of time. This poses a challenge as the automatic recognition o f Morse code is dependent upon maintaining a stable typing rate. In this pa per, a suitable adaptive automatic recognition method, combining the least- mean-square (LMS) algorithm with a neural network, was applied to this prob lem. The method presented in this paper is divided into five modules: space recognition, tone recognition, learning process, adaptive processing and c haracter recognition. Statistical analyses demonstrated that the proposed m ethod elicited a better recognition rate in comparison with other methods i n the literature.