… is to generalize the applicability of Donoho’s … of wavelet multi-resolution analysis and the
wavelet de-noising method are presented. Following from this, the application of the wavelet de-…

… Data compression and scale analysis In this section we use the multi-resolution analysis of
f(x… To accomplish that we use a reconstruction procedure R(x; f”) which approximates f(x) from …

… method, uses system characteristic and responses to calculate loads. A method based on
wavelet multi-resolution analysis is proposed in this paper. By wavelet decomposition and …

… by multi-resolution analysis with multiple domains. Therefore, we propose a super-resolution
network based on the wavelet multi-resolution … and wavelet domain features. Initially, the …

… In this study, we use the wavelet multi-resolution pressure fluctuations that were obtained at
previous session to compute the components of RMS pressure at each frequency. It is called …

IEEE ICAL 2007 Paper Page 1 Abstract - Based on MATLAB, this paper proposes a method
of harmonics detection by using wavelet multi-resolution analysis, simulation and analysis of …

… based methods in mechanical and civil engineering applications … wavelet analysis for
time-varying structural responses. The approach proposed in this paper uses various wavelets and …

… We use the Daubechies 4 wavelet to decompose the de-noised pressure data as shown
in the previous field example and obtain the multi-resolution approximation. Figure 15 shows …

… wavelet is an oscillatory waveform of effectively limited duration that has an average value
of zero. Wavelet analysis … -sized regions, ie wavelet analysis allows the use of long time …

Curvelet transform is a new extension of wavelet transform which aims to deal with interesting
phenomena occurring along curves. Curvelet transform is particularly a challenging task to …