Practical approach of digital filtering applications invariant to time, for Digital Signal Processing course

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dc.contributor.authorHuamani-Navarrete, Pedro
dc.date.accessioned2019-08-17T03:07:59Z
dc.date.accessioned2022-02-22T12:03:11Z
dc.date.available2019-08-17T03:07:59Z
dc.date.available2022-02-22T12:03:11Z
dc.date.issued2019-07
dc.description.abstractIn this article, it is presented a practical approach to time-invariant digital filtering applications, through the design and development of a graphic user interface using the GUIDE tool and the Toolbox Signal Processing from the MATLAB software (version 2018). The importance of this work will be to provide students and professors of the Digital Signal Processing course, in the Electronics Engineering and Mechatronics Engineering careers, of the Ricardo Palma University in Lima-Peru, with an interactive tool to improve the teaching and understanding of the subject of digital filtering, allowing to choose from a total of 20 real signals sampled at 44100 Hz., such as voice, medical signal, music, among others, and using multiple options of filter types, cut-off frequencies, noise types, graphic representation of time and frequency, up to the sound reproduction of the signals before and after the filtering stageen_US
dc.description.countryPeruen
dc.description.institutionUniversidad Ricardo Palmaen
dc.description.trackTechnology for Teaching and Learning, E-learning and Distance Educationen
dc.identifier.isbn978-958-52071-4-1
dc.identifier.issn2414-6390
dc.identifier.otherhttp://laccei.org/LACCEI2019-MontegoBay/meta/FP293.html
dc.identifier.urihttp://dx.doi.org/10.18687/LACCEI2019.1.1.293
dc.identifier.urihttps://axces.info/handle/10.18687/20190101_293
dc.journal.referatopeerReview
dc.language.isoEnglishen_US
dc.publisherLACCEI, Inc.en_US
dc.rightsLACCEI License
dc.rights.urihttps://laccei.org/blog/copyright-laccei-papers/
dc.subjectdigital filters FIRen_US
dc.subjectdigital filter IIRen_US
dc.subjectreal signalsen_US
dc.subjectMATLAB GUIDEen_US
dc.titlePractical approach of digital filtering applications invariant to time, for Digital Signal Processing course
dc.typeArticleen_US

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