Titlebook: Wavelet Theory and Application; A Special Issue of t Andrew Laine Book 1993 Springer Science+Business Media New York 1993 Processing.calcul

指數(shù)

Two Ways to Incorporate Scale in the Heisenberg Group with an Intertwining Operator,entation incorporates scale and phase scale with an appropriate intertwining operator analogous to the linear Schr?dinger representation associated with the Heisenberg group of shift and phase shift and with the Zak transform. This is done in a simple way by operating the Heisenberg group over an ap

鞠躬

Two Ways to Incorporate Scale in the Heisenberg Group with an Intertwining Operator,entation incorporates scale and phase scale with an appropriate intertwining operator analogous to the linear Schr?dinger representation associated with the Heisenberg group of shift and phase shift and with the Zak transform. This is done in a simple way by operating the Heisenberg group over an ap

Urologist

失望未來

殺菌劑

Synapse

Construction of Wavelet Decompositions for Tomographic Images,ge from the wavelet transform of its projections with a 1-D analyzing wavelet. We then show that it allows us to reconstruct a 2-D wavelet decomposition of the image. The properties of the generated 2-D analyzing wavelet are studied. When the 1-D analyzing wavelet is even, the 2-D analyzing wavelet

Trypsin

A Wavelet Regularization Method for Diffuse Radar-Target Imaging and Speckle-Noise Reduction,s the scattering function .(., τ), which describes the second-order statistics of target reflectivity in delay—Doppler coordinates. Our estimation approach is obtained by application of the maximum-likelihood principle and a regularization procedure based on a wavelet representation for the logarith

mortgage

A Wavelet Regularization Method for Diffuse Radar-Target Imaging and Speckle-Noise Reduction,s the scattering function .(., τ), which describes the second-order statistics of target reflectivity in delay—Doppler coordinates. Our estimation approach is obtained by application of the maximum-likelihood principle and a regularization procedure based on a wavelet representation for the logarith

tackle

驚惶

The Generalized Matrix Product and the Wavelet Transform,pecial examples, such as the Fourier-wavelet matrix expansion and wavelet decompositions and reconstructions, that demonstrate that the new formulation and algorithm offer unique advantages over existing wavelet algorithms are provided.