所蔵: Intelligent detection of DTMF tones using a hybrid signal processing technique with support vector machines

Intelligent detection of DTMF tones using a hybrid signal processing technique with support vector machines

Efficient methods for DTMF signal detection are important for developing telecommunication equipment. This paper presents a hybrid signal processing and artificial intelligence based approach for the detection of Dual-tone Multifrequency (DTMF) tones under the influence of White Gaussian Noise (WGN)...

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主要な著者:	Nagi J., Yap K.S., Tiong S.K., Ahmed S.K., Nagi F.
その他の著者:	25825455100
フォーマット:	Conference paper
出版事項:	2023
主題:	Artificial intelligence Bandpass filters Civil aviation Discrete Fourier transforms Fourier transforms Image retrieval Impulse response Information technology Power spectrum Signal processing Spectrum analysis Spectrum analyzers Support vector machines Telecommunication Telecommunication equipment Vectors Carrier frequencies Decision logics Detection models Detection schemes Detection techniques Dtmf frequencies Efficient methods Finite impulse responses Frequency variations Hybrid signal processing Input samples Intelligent classifications Intelligent detections Multi frequencies Power Spectrum analysis Support vectors White gaussian noises Frequency response
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Intelligent detection of DTMF tones using a hybrid signal processing technique with support vector machines

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