持有资料: Dual-tone multifrequency signal detection using support vector machines

Dual-tone multifrequency signal detection using support vector machines

The need for efficient detection of Dual-tone Multifrequency (DTMF) tones for developing telecommunication equipment is justifiable. This paper presents an artificial intelligence based approach for efficient detection of DTMF tones under the influence of White Gaussian Noise (WGN) and frequency var...

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Main Authors:	Nagi J., Tiong S.K., Yap K.S., Ahmed S.K.
其他作者:	25825455100
格式:	Conference paper
出版:	2023
主题:	Discrete fourier transform Dual-tone multifrequency tone Goertzel's algorithm Support vector machine Artificial intelligence Block codes Discrete Fourier transforms Expert systems Gears Group technology Image retrieval Image storage tubes MATLAB Multilayer neural networks Power spectrum Signal detection Signal processing Spectrum analysis Spectrum analyzers Telecommunication Telecommunication equipment Vectors Carrier frequency Decision logic Detection models Detection scheme Detection technique DTMF frequencies Efficient detection Frequency variation Input sample MATLAB environment Multi frequency Multifrequency signals Performance tests Rule base Software-based SVM classifiers White Gaussian noise Support vector machines
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Dual-tone multifrequency signal detection using support vector machines

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