electrocardiogram (ecg) is one of the most common biological signals which plays a significant role in diagnosis of heart diseases. one of the most important parts of ecg signal processing is interpretation of qrs complex and obtaining its characteristics. r wave is one of the most important sections of this complex which has an essential role in diagnosis of heart rhythm irregularities and als...

ABSTRACT In this paper, we present a fully scalable 3-D overcomplete wavelet video coder that employs a new and highly efficient 3D lifting structure for adaptive motion compensated temporal filtering (MCTF). Unlike the conventional interframe wavelet video techniques that apply MCTF on the spatial domain video data and then encode the resulting temporally filtered frames using critical sampled...

Hyperspectral image classification is an emerging and interesting research area that has attracted several researchers to contribute this field. images have multiple narrow bands for a single enable the development of algorithms extract diverse features. Three-dimensional discrete wavelet transform (3D-DWT) advantage extracting spatial spectral information simultaneously. Decomposing into set s...

In this work, we present the applications of three-dimensional set partitioning methods to the sequence of still color images. The set partitioning methods we use in this paper are SPIHT, a state-of-the-art encoder and SPECK, a more recently developed, low complexity encoder. The three-dimensional versions of these methods are based on the observation that the sequences of images are contiguous...

PURPOSE Most applications in the field of medical image processing require precise estimation. To improve the accuracy of segmentation, this study aimed to propose a novel segmentation method for coronary arteries to allow for the automatic and accurate detection of coronary pathologies. METHODS The proposed segmentation method included 2 parts. First, 3D region growing was applied to give th...

this paper presents a rational haar wavelet operational method for solving the inverse laplace transform problemand improves inherent errors from irrational haar wavelet. the approach is thus straightforward, rather simple andsuitable for computer programming. we define that $p$ is the operational matrix for integration of the orthogonalhaar wavelet. simultaneously, simplify the formulaes of li...

introduction: evoked potentials arisen by stimulating the brain can be utilized as a communication tool  between humans and machines. most brain-computer interface (bci) systems use the p300 component,  which is an evoked potential. in this paper, we evaluate the use of the hidden markov model (hmm) for  detection of p300.  materials and methods: the wavelet transforms, wavelet-enhanced indepen...