Orthogonal wavelet bases have been developed using multiple mother wavelet functions. Applying the discrete multiwavelet transform requires the input data to be preprocessed to obtain a more economical decomposition. Four characteristics of a preprocessing method are presented: length, degree, orthogonality and frequency response. A minimal preelter is deened to have length one and highest atta...

Wavelet transform (WT) is an important tool to analyze the time-frequency structure of a signal. The WT relies on prototype signal that called mother wavelet. However, there no single universal wavelet fits all signals. Thus, selection function might be challenging represent achieve optimum performance. There are some studies determine optimal for other biomedical signals; however, exists evalu...

Relays may not perform as intended occasionally due to many complex reasons, which may result in relay misoperation. This paper provides a fast detection scheme for symmetrical fault during power swing based on travelling wave theory and wavelet transform. The implementation of the proposed method is discussed in detail, which covers implementation framework, data requirements, selection of mot...

Orthogonal Frequency Division Multiplexing system used in number of communication systems. It is a powerful technique that uses an IFFT at the transmitter to modulate a high bit error rate signal onto a number of carriers. But it faced one problem that is inherently inflexible and requires a complex IFFT core. To overcome this problem a new DVB-T system is designed that utilizes the flexible na...

In this paper, a comparative study of the Artificial Intelligence (AI) techniques for condition monitoring cylindrical roller bearing is presented. For feature selection, wavelet analysis applied using ‘sym2’ as mother wavelet. Nine features are considered training and evaluation AI then effectiveness compared. Bearing sample data consists four different conditions having defective inner race, ...

A wavelet transform is introduced as a means of detecting the characteristic scale or period T of a radar pulse sequence in an incoming stream of pulses. A particular choice of mother wavelet contains a fixed number, M , of cycles of a complex exponential, which provides a resolution of 1=M times T . The transform operates on interleaved pulse sequences and, by thresholding, determines T for ea...

Shape analysis has played a central role in many problems in vision and perception, being an active multidisciplinary research field. In this context, this paper introduces a new shape analysis approach using the well known wavelet transform and exploring shape representation by landmarks. This work shows how to obtain a time signal from the landmarks representation, which undergoes the wavelet...

This paper exhibits the best possible information example of fluffy rationale calculation for blame sort characterization in underground link. The proposed calculation utilizing mix of discrete wavelet changes (DWT) and fluffy rationale. The DWT is connected to concentrate high recurrence segment from blame current waveform utilizing mother wavelet daubechies4 (db4). The most extreme coefficien...

Wavelet decomposition of signals using the classical Daubechies-Wavelets could also be considered as a decomposition using a filter bank with two channels, a low pass and a high pass channel, represented by the father and mother wavelet, respectively. By generalizing this two channel approach filter banks with N ≥ 2 channels can be constructed. They possess one scaling function or father wavele...

This paper deals with Chebyshev wavelets. We analyze their properties computing Fourier transform. Moreover, we discuss the differential of wavelets due to connection coefficients. Uniform convergence and approximation error allow us provide rigorous proofs. In particular, expand mother wavelet in Taylor series an application both fractional calculus fractal geometry. Finally, give two examples...