Multiclass least-squares support vector machines for analog modulation classification
Expert Systems with Applications: An International Journal
Comparison of clustering algorithms for analog modulation classification
Expert Systems with Applications: An International Journal
| Hi-index | 0.08 |
In future telecommunications networks, an important role will be played by “intelligent control” techniques aimed at selecting and tuning signal processing (SP) algorithms. The authors first define the main problems of automatic control of SP algorithms; then, they propose a 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, the authors 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 on an image-compression application are also reported