Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zulkapli Abdullah"'
Autor:
Farah Nazlia Che Kassim, Hariharan Muthusamy, Vikneswaran Vijean, Zulkapli Abdullah, Rokiah Abdullah
Publikováno v:
Jurnal Teknologi. 82:21-28
The Dual-Tree Complex Wavelet Packet Transform (DT-CWPT) has been successfully implemented in numerous field because it introduces limited redundancy, provides approximately shift-invariance and geometrically oriented signal in multiple dimensions wh
Autor:
Hariharan Muthusamy, Rajkumar Palaniappan, Rokiah Abdullah, Zulkapli Abdullah, Vikneswaran Vijean, Farah Nazlia Che Kassim
Publikováno v:
2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI).
The study of voice pathology has become one of the valuable methods of vocal fold pathology detection, as the procedure is non-invasive, affordable and can minimise the time needed for the diagnosis. This paper investigates the Dual-Tree Complex Wave
Autor:
Hariharan Muthusamy, Vikneswaran Vijean, Zulkapli Abdullah, Farah Nazlia Che Kassim, Rokiah Abdullah
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9789811573088
This paper presents a new approach for Malaysian speaker and accent recognition using wavelet feature extraction method, namely Wavelet Packet Transform (WPT), Discrete Wavelet Packet Transform (DWPT) and Dual Tree Complex Wavelet Packet Transform (D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dbaf4dce6c4c87227f84ad2757d71e9
https://doi.org/10.1007/978-981-15-7309-5_3
https://doi.org/10.1007/978-981-15-7309-5_3
Autor:
Farah Nazlia Che Kassim, Vikneswaran Vijean, Zulkapli Abdullah, Rokiah Abdullah, Hariharan Muthusamy
Publikováno v:
Journal of Physics: Conference Series. 1372:012029
Voice pathology analysis has been one of the useful tools in the diagnosis of the pathological voice. This method is non-invasive, inexpensive and reduces time required for analysis. This paper investigates the feature extraction based on the Dual-Tr
Autor:
Rokiah Abdullah, Muthusamy, Hariharan, Vikneswaran Vijean, Zulkapli Abdullah, Farah Nazlia Che Kassim
Publikováno v:
Pertanika Journal of Science & Technology; Apr2019, Vol. 27 Issue 2, p737-752, 16p