In future telecommunications networks, an important role will be played 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 phase, based on quality tests on progressive results. In particular, we focus on the control strategies adopted and describe how expert knowledge is represented and applied to implement such strategies, As an example, the control of low-level image processing is detailed, Results an an image-compression application are also reported,
INTELLIGENT CONTROL OF SIGNAL-PROCESSING ALGORITHMS IN COMMUNICATIONS
ROLI, FABIO;
1994-01-01
Abstract
In future telecommunications networks, an important role will be played 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 phase, based on quality tests on progressive results. In particular, we focus on the control strategies adopted and describe how expert knowledge is represented and applied to implement such strategies, As an example, the control of low-level image processing is detailed, Results an an image-compression application are also reported,
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