Items where Author is "Sithi V. Muniandy"

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Number of items: 7.

Article

Chee Han Ng and Jedol Dayou and Chong Mun Ho and Sithi V. Muniandy and Abdul Hamid Ahmad and Mohd Noh Dalimin (2015) Investigation on the possibility of using entropy approach for classification and identification on frog species. Jurnal Teknologi (Sciences and Engineering), 75 (1). pp. 1-7. ISSN 2180-3722

Ng, Chee Han and Sithi V. Muniandy and Jedol Dayou and Ho, Chong Mun and Abdul Hamid Ahmad and Mohd. Noh Dalimin (2010) Information Theoretic Approach Based on Entropy for Classification of Bioacoustics Signals. AIP Conference Proceedings, 1250 (1). ISSN 0094243X

Ng, Chee Han and Sithi V. Muniandy and Jedol Dayou (2011) Acoustic classification of Australian anurans based on hybrid spectral-entropy approach. Applied Acoustics, 72 (9). pp. 639-645.

Conference or Workshop Item

Jedol Dayou and Ng, Chee Han and Ho, Chong Mun and Abdul Hamid Ahmad and Sithi V. Muniandy and Mohd Noh Dalimin (2011) Classification and identification of frog sound based on entropy approach. In: 2011 International Conference on Life Science and Technology, 7 - 9 January 2011, Mumbai, India.

Jedol Dayou and Ng, Chee Han and Ho, Chong Mun and Abdul Hamid Ahmad and Sithi V. Muniandy and Mohd Noh Dalimin (2011) Entropy approach for bioacoustics signal analysis of repetitive notes. In: 2010 International Conference on Biology, Environment and Chemistry, 28 - 30 December 2010, Hong Kong, China.

Ng, Chee Han and Sithi V. Muniandy and Jedol Dayou and Ho, Chong Mun and Abdul Hamid Ahmad and Mohd Noh Dalimin (2010) Information theoretic approach based on entropy for classification of bioacoustics signals. In: Progress of Physics Research in Malaysia (PERFIK2009), 7-9 December 2009, Melaka, Malaysia.

Research Report

Jedol Dayou and Ng, Chee Han and Ho, Chong Mun and Abdul Hamid Ahmad and Mohd Noh Dalimin and Sithi V. Muniandy (2011) Energy, Vibration And Sound Research Group (e-VIBS) School Of Science And Technology Universiti Malaysia Sabah : Bioacoustics Signal Modeling Using Time-Frequency Distribution. (Submitted)

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