## Lecture Slides for Multiresolution Signal and Geometry Processing |

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Lecture slides are very much useful.

Explains almost all concepts using relevant figures and mathematical notations and equations.Explains usage/applications also in brief.

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Being both written by the same author, these lecture slides integrate wonderfully with the textbook. Same notation, et cetera. You don't have to "translate" back-and-forth.

Moreover, the fact that the lecture slides are published, means that there's no hoping the instructor posts them. They're always there!

Dr. Adams very obviously puts a lot of time, effort, and care into preparing these slides and the textbook, and it's very well spent.

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### Common terms and phrases

ˆx[n affine combinations affine transformation analysis and synthesis applications approximation space basis functions biorthonormal Catmull-Clark Subdivision CGAL coding compute Continued corresponding Creative Commons defined denoted disjoint downsampling elements equation coefficient sequence Example face facet filtering operation Fourier transform function f geometric refinement given halfedge Hilbert space implemented inner product space input integer integer factor interpolating iterator Lebesgue integral License Licensor limit surface M-channel M-fold masks metric space Name Description norm one-dimensional OpenGL orthogonal orthonormal basis polygon mesh polyphase form polyphase representation primal projection pseudocirculant quadrilateral quantization refinement equation Riesz basis sampling rate scalar multiplication Scaling and Wavelet scaling function signal processing subband signals subdivision scheme subdivision surfaces subset subspaces synthesis filters synthesis sides Theorem topologic refinement rule transmultiplexer triangle UMD filter bank upsampling valence vector addition vector space vertex wavelet function wavelet spaces wavelet system zero