Time-frequency analysis based methods for classification of newborn cry signals
The infant cry classification implies non invasive objective methods, classification of different patterns of infant cry utterances and adoption of artificial and digital signal processing techniques. It has been commenced past decades ago to overcome the limitations of subjective methods in part...
محفوظ في:
التنسيق: | أطروحة |
---|---|
اللغة: | English |
الموضوعات: | |
الوصول للمادة أونلاين: | http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77899/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77899/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77899/4/Saraswathy.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Monitoring of infant cry due to temperature changes in infant incubator /
بواسطة: Nor Haliza Md Yusof
منشور في: (2014) -
Feature extraction and classification of electromyogram signal to detect myopaties disease /
بواسطة: Nor Shariza Bashar
منشور في: (2011) -
Structural health monitoring using adaptive wavelet functions /
بواسطة: Mahdavi, Seyed Hossein
منشور في: (2016) -
Multicomponent transient signal analysis using deconvolution and parametric modeling techniques /
بواسطة: Jibia, Abdussamad Umar
منشور في: (2010) -
Multidimensional local sine and cosine bases /
بواسطة: Chia, David Meng Hwee
منشور في: (1998)