Browsing by Subject "Discrete wavelet transforms"
Now showing items 1-6 of 6
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Adaptive compression and optimization for real-time energy-efficient wireless EEG monitoring systems
( IEEE , 2013 , Conference Paper)Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography ... -
Adaptive energy-aware encoding for DWT-based wireless EEG tele-monitoring system
( IEEE Computer Society , 2013 , Conference Paper)Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography ... -
DeepWTPCA-L1: A New Deep Face Recognition Model Based on WTPCA-L1 Norm Features
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In this paper, we propose a robust face recognition model called DeepWTPCA-L1 using WTPCA-L1 features and a CNN-LSTM architecture. First, WTPCA-L1 algorithm, composed of Three-level decomposition of discrete wavelet transform ... -
Improving performance of deblocking techniques using image fusion
(2012 , Conference Paper)Block based transform coding is the most popular technique for image and video compression. However, images compressed using block based algorithms exhibit blocking which is one of the most annoying artifacts in compressed ... -
Real-time DWT-based compression for wearable Electrocardiogram monitoring system
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Compression of Electrocardiogram signal is important for digital Holters recording, signal archiving, transmission over communication channels and Telemedicine. This paper introduces an effective real-time compression ... -
Scalable real-time energy-efficient EEG compression scheme for wireless body area sensor network
( Elsevier Ltd , 2015 , Article)Recent technological advances in wireless body sensor networks have made it possible for the development of innovative medical applications to improve health care and the quality of life. By using miniaturized wireless ...