This paper implements a new leukemia identification method which depends on Mel frequency cepstral coefficient (MFCC) feature extraction and wavelet transform. Leukemia identification is a measurement of blood cell features for detecting the blood cancer of a patient. Blood cell feature extraction is based on transforming the blood cell two dimensional (2D) image into one dimensional (1D) signa...

An efficient motion-compensated 3D wavelet video coding system is proposed in this paper. In this new system, spatio-temporal subbands are generated by MC temporal analysis based on an adaptive GOP structure and 2D spatial wavelet transform, and then encoded by a quadtree-based wavelet image coding method. The experimental results show that, the proposed system can achieve better performance th...

this paper presents a new coding method for image compression based on jpeg2000 and contourlet transform. jpeg2000 standard is a common standard that uses discrete wavelet transform (dwt) in the compression process. the main problems of dwt are failure to detect curved edges in image and its shortage representation of the ridge and furrow patterns which cause deficiency and block artifacts rema...

in this paper, we present an edge detection method based on wavelet transform and hessian matrix of image at each pixel. many methods which based on wavelet transform, use wavelet transform to approximate the gradient of image and detect edges by searching the modulus maximum of gradient vectors. in our scheme, we use wavelet transform to approximate hessian matrix of image at each pixel, too. ...

In order to study the effects of extensional viscosities on turbulent drag reduction, experimental studies using two-dimensional turbulence have been made. Anisotropic structures and variations of energy transfer induced by polymers are considered. Polyethyleneoxide and hydroxypropyl cellulose having different flexibility, which is due to different characteristics of extensional viscosity, are ...

The aim of this paper is a complete statistical analysis of the two dimensional discrete wavelet transform, 2D DWT. This analysis represents a generalization of the statistical analysis of the 1D DWT, already reported in literature. The probability density function, the correlation and the first two moments of the coefficients of the 2D-DWT are computed. The asymptotic behaviour of this transfo...

Discrete wavelet transform (DWT) is the one of the main approaches used for image compression. A new discrete wavelet transform (DWT) architecture is proposed in this paper to realize a memory-efficient 2D DWT unit. The main goal of the proposed system is to change the processing unit in the pipelined DWT. Processing unit is modified in such a way that total number of processing required in the...

The aim of this paper is to review emerging trends in efficient implementations of VLSI architecture of lifting based two-dimensional discrete wavelet transform (2D-DWT).The basic principle of lifting scheme is decomposing finite impulse response (FIR) filter into finite sequence of filtering steps. The inherent in place computation of lifting scheme has many advantages, and has been adapted in...

In this work, a novel ECG data compression method is presented which employs set partitioning in hierarchical trees algorithm(SPIHT) on two dimensional electrocardiogram(2D-ECG).The 2D ECG is a two dimensioned array, in which each row of this array indicates one or more period and amplitude[7] normalized ECG beats. When SPIHT algorithm is used to compress one or two-dimensional signals separate...

This paper presents the recognition of fetal ECG signals from a single-channel recording. The Continuous Wavelet Transform generates two-dimensional representation single-dimension input containing electrocardiogram waves, which are accurately located and isolated. By segmenting this 2D using Otsu's method, continuous wavelet transform each wave may be estimated. temporal expression is then reb...