Insight Into Wavelets : from Theory to Practice

algorithm analysis applications approximation B-spline basis functions Bezier curves biorthogonal wavelets blending functions coding compute constraints continuous wavelet transform control points convolution corresponding cubic curvelet transform Daubechies wavelet decomposition defined denoising derivatives discrete wavelet transform domain double-shift orthogonality Ê Á Ë encoding equation f 2t factor filter bank filter coefficients finite Fourier series Fourier transform frequency given Groebner h₁ H₂ Haar wavelet image compression integer interpolation lifting scheme linear low pass M-band wavelet multiplication multiwavelet obtain orthogonality conditions orthonormal output parameter pass filter polynomial polyphase matrix properties quantization Radon transform reconstruction representation result ridgelet transform samples scaling and wavelet scaling function sequence shown in Figure signal processing space spline step subband threshold time-frequency translates Ú f unitary matrix values vanishing moments vector wavelet based wavelet coefficients wavelet filter wavelet function wavelet packet zero