Full metadata record
DC FieldValueLanguage
dc.contributor.authorYeh, Cheng-Yuen_US
dc.contributor.authorHwang, Shaw-Hwaen_US
dc.date.accessioned2019-04-02T05:58:20Z-
dc.date.available2019-04-02T05:58:20Z-
dc.date.issued2019-02-01en_US
dc.identifier.issn2076-3417en_US
dc.identifier.urihttp://dx.doi.org/10.3390/app9030422en_US
dc.identifier.urihttp://hdl.handle.net/11536/148941-
dc.description.abstractA novel tone detection approach, designated as the multi-frequency detecting (MFD) algorithm, is presented in this work as an alternative to conventional single point detection approaches but it is an efficient way to achieve the aim of further computational load reduction for a dual-tone multi-frequency (DTMF) signal detection. The idea is that an optimal phase search is performed over the frequency band of interest in each tone detection, and then the optimal frequency response of a detector is built accordingly. In this manner, a DTMF detection task is done following one-time detection computation. This proposal demonstrates an overall computational load reduction of 80.49% and 74.06% in comparison with a discrete Fourier transform (DFT) approach and the Goertzel algorithm, respectively. This detection complexity reduction is an advantage and an important issue for applying DTMF detection technique to embedded devices.en_US
dc.language.isoen_USen_US
dc.subjectdual-tone multi-frequency (DTMF)en_US
dc.subjectremote controlen_US
dc.subjecttone detectionen_US
dc.subjectGoertzel algorithmen_US
dc.subjectdiscrete Fourier transform (DFT)en_US
dc.titleEfficient Detection Approach for DTMF Signal Detectionen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/app9030422en_US
dc.identifier.journalAPPLIED SCIENCES-BASELen_US
dc.citation.volume9en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000459976200062en_US
dc.citation.woscount0en_US
Appears in Collections:Articles


Files in This Item:

  1. bcc541b171180870bde2c202a5232779.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.