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. For an image, 2D-DWT is generally calculated using a separable approach. Signal Analysis explores methods that offer an insight into the properties of signals and stochastic processes. She is world-renowned for her many pioneering contributions to the theory and application of wavelets and filter-banks. Signal Analysis: Wavelets, Filter Banks, Time-Frequency Transforms and Applications (by Alfred Mertins). Signal analysis gives an insight into the properties of signals and stochastic processes by methodology. Discrete Wavelet Transform (DWT) can be implemented using two-channel wavelet filter bank in a recursive fashion. For the image enhancement process, we use something called a stationary wavelet transform. Yes, particularly as I watched filter bank research develop wavelets and applications to multidimensional signals. Basically, this is a special case of the wavelet transform where the image is not decimated between levels in the filter bank. I couldn't be part of it anymore, so I felt a little bit frustrated. LINK: Download Signal analysis: wavelets, filter banks, time-frequency transforms and applications Audiobook. Finally, the text discusses Fourier transform and wavelet theory on the real line.