Abstract
In recent years, many applications such as speech recognition system and teleconference system are in the limelight. For these systems to perform well, it is necessary to get rid of the influence of surrounding noise. Many researchers have studied speech enhancement techniques. In the actual environment, the surrounding noise is not only time variant but also unmeasurable. Furthermore, the transfer function from source to sensing point is usually unknown. Therefore the noise canceller does not always effectively reduce the influence of the surrounding noise. In this paper, a new blind signal separation algorithm is proposed. This algorithm is designed for a 2-inputs 2-outputs system and the mixture matrix is represented using a trigonometric function. Computer simulations evaluate the performance of these algorithms.
