Brain-learning-model-based DSP teaching environment for communication systems

The description of a virtual, remote, and distributed laboratory for teaching communication systems is presented; it is based on physiological and psychological models of how the brain carries out the capture and retention of knowledge, thus facilitating the process of learning, reducing the time of assimilation, and achieving a longer retention of the assimilated material. The system includes: an application for diagramming, configuration, simulation, and monitoring of the practice performed; a group of digital signal processors which implements the practice; a local communication system that allows interaction among the different modules, in addition to specific connections to real instruments and the Internet, in order to control the system remotely, while providing the same functionality. All features contemplated in these models have been implemented and tested in the tool, and the results show that the approach indeed eases learning processes, which motivates further study on the subject.