INTELLIGENT CONTROL OF SIGNAL-PROCESSING ALGORITHMS IN COMMUNICATIONS

In future telecommunications networks, an important role will be playe d by ''intelligent control'' techniques aimed at selecting and tuning signal processing (SP) algorithms, In this paper, we first define the main problems of automatic control of SP algorithms; then, we propose our knowledge-based approach to carry out such a task. In the planning phase, a restricted set of algorithm sequences are selected. This set is used as a raw plan to be refined and corrected in the execution ph ase, based on quality tests on progressive results. In particular, we focus on the control strategies adopted and describe how expert knowle dge is represented and applied to implement such strategies, As an exa mple, the control of low-level image processing is detailed, Results a n an image-compression application are also reported,