Dual-tone multifrequency signal detection using support vector machines

• Main Authors: Nagi J., Tiong S.K., Yap K.S., Ahmed S.K.
• Other Authors: 25825455100
• Format: Conference paper
• Published: 2023
• Subjects: 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
• Institution: Universiti Tenaga Nasional

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...