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Simulation Based GNU Radio Tool for DSP Significant Learning

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Applied Computer Sciences in Engineering (WEA 2022)

Abstract

This contribution presents an approach to strengthen the internalization of theoretical concepts related to digital signal processing - DSP and communications systems by means of active learning using the GNUradio framework, highlighting the experimental work in the strengthening of learning

Results show that user implemented blocks have capabilities comparable to the ones included in GNU radio library and the student’s requested feeling of“real life” deployments, with the advantage of being flexible, software dependent, multipurpose hardware, which can be used in the laboratory for teaching and further research. On the other hand, significantly learned materials can be retained for a relatively long period of time, months, even years

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Acknowledgements

To the people of “Grupo de Investigación en Electrónica de Altas Frecuencias y Telecomunicaciones” - CMUN, and communications laboratory for the constant discussion and their collaboration during the experimental validation of the proposed experiments.

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Correspondence to German Augusto Ramírez .

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Ramírez, G.A., Caviativa, Y.P., Castro, F.C., Ramirez, F.A.S., Guzmán, V.J. (2022). Simulation Based GNU Radio Tool for DSP Significant Learning. In: Figueroa-García, J.C., Franco, C., Díaz-Gutierrez, Y., Hernández-Pérez, G. (eds) Applied Computer Sciences in Engineering. WEA 2022. Communications in Computer and Information Science, vol 1685. Springer, Cham. https://doi.org/10.1007/978-3-031-20611-5_35

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  • DOI: https://doi.org/10.1007/978-3-031-20611-5_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20610-8

  • Online ISBN: 978-3-031-20611-5

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