A generalization of the wavelet-transform modulus maxima method to case multifractal analysis is proposed, in which cooperative dynamics subsystems and change interaction between them are characterized using a joint singularity spectrum. On example phenomenon chaotic synchronization model interacting Lorenz systems, possibility diagnosing functioning regime terms wavelet-based formalism illustr...

Existing spread spectrum based watermarking techniques can not despread the encoded signal as expected in a typical spread spectrum communication system. Also the change in the statistics of the watermarked image as a result of attacks are not adequately compensated. It is therefore expected that these systems have not yielded the desired fully robust characteristics. This paper presents a spre...

Transformer differential protection may be of malfunction at the emergence of inrush current, and it will affect the normal operation of the transformer. So the paper puts forward a new application of wavelet energy spectrum entropy-neural network theory in transformer microcomputer protection, in which the multi-resolution analysis of wavelet transform and information entropy technology are co...

In this article, we investigate the application of wavelet packet transform as a novel spectrum sensing approach. The main attraction for wavelet packets is the tradeoffs they offer in terms of satisfying various performance metrics such as frequency resolution, variance of the estimated power spectral density (PSD) and complexity. The results of the experiments show that the wavelet based appr...

Wavelet transformation was applied as an elimination method of influence by an interfering substance on an amperometric biosensor. The current responses of a bi-enzyme type lactose biosensor in a solution containing both lactose and ascorbic acid were analyzed by wavelet transformation. The power spectrum density for ascorbic acid was detected selectively at around 0.125 Hz. The current compone...

We propose an equivalence class of nonstationary Gaussian stochastic processes defined in the wavelet domain. These processes are characterized by means of wavelet multipliers and exhibit well-defined time-dependent spectral properties. They allow one to generate realizations of any wavelet spectrum. Based on this framework, we study the estimation of continuous wavelet spectra, i.e., we calcul...

Speech process has benefited a great deal from the wavelet transforms. Wavelet packets decompose signals in to broader components using linear spectral bisecting. In this paper, mixtures of speech signals are decomposed using wavelet packets, the phase difference between the two mixtures are investigated in wavelet domain. A geometrical model is defined and an adaptive algorithm is proposed bas...