This repository is an implementation, using Python with numpy, scipy, matlibplot, PyWavelets and GNU Octave, of MIT OCW 18.327 spring 2003 Wavelets, Filter Banks, and Applications.
MIT (Massachusetts Institute of Technology) OCW (Open-CourseWare) 18.327 Wavelets, Filter Banks, and Applications Spring 2003 was taught by Gilbert Strang and Kevin Amaratunga; software they used was all for Matlab. In this repository, you can do everything (and more!) involving Filter Banks and Wavelets in Python, with numpy, scipy, matlibplot, PyWavelets, and GNU Octave! The hope is that this repository will be useful at the pedagogical level allowing anyone, anywhere, anytime, with open-source software (OSS), to learn about Wavelets and Filter Banks, and encourage OSS usage in research and industry.
Open up the tools subdirectory and explore! The tools subdirectory should mirror the Tools subdirectory of MIT OCW 18.327 and also include related Python and GNU Octave code.
Gilbert Strang, and Kevin Amaratunga. 18.327 Wavelets, Filter Banks and Applications, Spring 2003. (Massachusetts Institute of Technology: MIT OpenCourseWare), http://ocw.mit.edu (Accessed 3 Jul, 2015). License: Creative Commons BY-NC-SA