We present a kinetic version of the Watanabe-Strogatz (WS) transform for vector models in this paper. From generalized WS-transform, we can reduce model into an ODE system. also obtain cross-ratio type constant motion functionals under suitable conditions. sufficient and necessary conditions existence suggested functionals. As application functional, provide instability bipolar states swarm sph...

The contourlet transform has the benefit of efficiently capturing the oriented geometrical structures of images. In this paper, by incorporating the ideas of Stein’s Unbiased Risk Estimator (SURE) approach in Nonsubsampled Contourlet Transform (NSCT) domain, a new image denoising technique is devised. We utilize the characteristics of NSCT coefficients in high and low subbands and apply SURE sh...

The record of human brain neural activities, namely electroencephalogram (EEG), is generally known as a non-stationary and nonlinear signal. In many applications, it is useful to divide the EEGs into segments within which the signals can be considered stationary. Combination of empirical mode decomposition (EMD) and Hilbert transform, called Hilbert-Huang transform (HHT), is a new and powerful ...

By using the Fourier transform, we successfully give Kröger-type estimates for sums of eigenvalues free plate (under tension and with nonzero Poisson’s ratio) in terms dimension ambient space, volume domain, parameter ratio.

Image fusion is defi ned as the process of combining two or more different images into a new single image retaining important features from each image with extended information content. There are two approaches to image fusion, namely spatial fusion and transform fusion and three levels namely pixel, feature and region level. In spatial fusion, the pixel values from the source images are direct...

Orthogonal frequency division multiple-xing (OFDM) is an effective transmission method for cognitive radio system. This method provides high bandwidth and robustness against time dispersive channel. But OFDM inherits the high side lobe power and peak to average power ratio. High side lobe power of primary user (PU) distorts the signal of the secondary user (SU). In this paper we reduce the side...

Due to the increasing traffic caused by multimedia information and digitized form of representation of images; image compression has become a necessity. New algorithms for image compression based on wavelets have been developed which offers considerable improvement in picture quality at high compression ratios. To achieve lowest errors per compression rate and highest perceptual quality, the ex...

In this paper, we discuss the usual stochastic‎, ‎likelihood ratio, ‎dispersive and convex transform order between two parallel systems with independent heterogeneous extended generalized exponential components. ‎We also establish the usual stochastic order between series systems from two independent heterogeneous extended generalized exponential samples. ‎Finally, ‎we f...

In this paper image compression using hybrid wavelet transform is proposed. Hybrid wavelet transform matrix is formed using two component orthogonal transforms. One is base transform which contributes to global features of an image and another transform contributes to local features. Here base transform is varied to observe its effect on image quality at different compression ratios. Different ...