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Wavelets and Filter Banks Gilbert Strang, Truong Nguyen
Publisher: Wellesley College

It is the first book to cover the topics of digital filter banks, multidimensional multirate systems, and wavelet representations under one cover. Signal Analysis: Wavelets, Filter Banks, Time-Frequency Transforms and Applications by Alfred Mertins English | 1999 | ISBN: 0471986267 | 330 pages | PDF | 6.37 MB Signal Analysis explores m. Application to sub band coding – Wavelet transform and filter bank implementation of wavelet expansion of signals. His talk titled Wavelet Filterbanks on Graphs: A New Tool for Multiresolution Analysis of Graph Data will describe his work on leveraging novel basic wavelet techniques for analyzing data on graphs. Special attention was paid to fast implementation through Matlab blass routines and polyphase implementation of filter banks. 2D DWT can be applied as a convolution of a selected wavelet function with an original image or it can be seen as a set of two matrices of filters, row and column one. Research Interests: Video processing, image processing, filter banks and wavelets, image analysis and understanding, 3D - multiview signal processing, machine. Almost all practically useful discrete wavelet transforms use discrete-time filterbanks. These filter banks are called the wavelet and scaling coefficients in wavelets nomenclature. A tutorial on filter banks and wavelets. (PDF): Imed Bouchrika, Mark Nixon; Combining Motion and Appearance for Gender Classification from Video Sequences: Abdenour Hadid, Matti Pietikäinen; Multimodal Biometrics Fusion Using Correlation Filter Bank: Yan Yan, Yu-jin Zhang .