Ara
Toplam kayıt 18, listelenen: 11-18
Compression of the biomedical images using quadtree-based partitioned universally classified energy and pattern blocks
(Springer London, 2019-03-15)
In this work, an efficient low bit rate image coding/compression method based on the quadtree-based partitioned universally classified energy and pattern building blocks (QB-UCEPB) is introduced. The proposed method combines ...
Biometric identification using fingertip electrocardiogram signals
(Springer London Ltd, 2018-07)
In this research work, we present a newly fingertip electrocardiogram (ECG) data acquisition device capable of recording the lead-1 ECG signal through the right- and left-hand thumb fingers. The proposed device is ...
A novel image compression method based on classified energy and pattern building blocks
(Springer International Publishing AG, 2011)
In this paper, a novel image compression method based on generation of the so-called classified energy and pattern blocks (CEPB) is introduced and evaluation results are presented. The CEPB is constructed using the training ...
A New speech coding algorithm using zero cross and phoneme based SYMPES
(IEEE, 2013-07-11)
In this work, a new low bit rate hybrid speech coding approach which combines the benefits of the SYMPES (Systematic Procedure for Predefined Envelope and Signature Sequences) and zero cross and phoneme based segmentation ...
Effective semi-supervised learning strategies for automatic sentence segmentation
(Elsevier Science BV, 2018-04-01)
The primary objective of sentence segmentation process is to determine the sentence boundaries of a stream of words output by the automatic speech recognizers. Statistical methods developed for sentence segmentation requires ...
A novel image compression method based on classified energy and pattern blocks: initial results
(Springer, 2010)
In this work, a new method for the compression of the images based on the generation of the so called classified energy and pattern blocks is introduced and the initial results are presented. The initials results proved ...
A novel hybrid electrocardiogram signal compression algorithm with low bit-rate
(Springer, 2010)
In this paper, a novel hybrid Electrocardiogram (ECG) signal compression algorithm based on the generation process of the Variable-Length Classified Signature and Envelope Vector Sets (VL-CSEVS) is proposed. Assessment ...
Extraction and comparison of various prosodic feature sets on sentence segmentation task for Turkish broadcast news data
(IEEE, 2014)
In this work, prosodic features of the Turkish Broadcast News (BN) data are extracted using an open source prosodic feature extraction tool based on Praat. The profiles and effectiveness of these features are also investigated ...