… Finally, we will briefly describe the continuous wavelet transform where both the signal and
the transform are functions of continuous variables. This is analogous to the Fourier transform…

… wavelet and wavelet transform application to segmentation. Part 6 discusses wavelet and
wavelet transform … Part 7 deals with wavelet and wavelet transform application to detection, …

… continuous wavelet transform. This transform works when we use a continuous wavelet function
to … First, we give the definition of continuous wavelet transform and do some comparison …

… WAVELET CHOICE AS we have seen, the wavelet transform is an inner product between
an analyzing wavelet at a given scale 1 and the signal to be analyzed; therefore the wavelet …

… scaling functions or wavelet bases. The test functions and wavelet bases we used are the
same as the ones given in Table I. For Table 11, the error for the cardinal wavelets C, we found …

… It gives a brief idea about wavelets and wavelet transforms. … We show that the product of
two wavelet transforms could be a wavelet transform. Application of the wavelet convolution in …

… It then uses the simplest wavelet ie Haar wavelet to demonstrate step-by-step how both 1D
and 2D discrete wavelet transforms (DWT) work. A 2D wavelet decomposition tree is used to …

… and mastery of wavelets, wavelet transforms, and other … wavelets, wavelet transforms,
Gabor transforms, the Wigner–Ville distribution, multiresolution analysis, and harmonic wavelets …

… The mathematics is simple and the transform is fast (faster than the Fast Fourier Transform,
… wavelet, we are led to dilation equations and their unusual solutions. Higher-order wavelets …

… By the `analysis' of a signal we imply not only its mathematical (in particular, wavelet) transform
but also use the of such a transform to obtain some conclusions about specific features of …