Lec 27 MIT 18.085 Computational Science and Engineering I
lectures 27 and 28 uh which will complete the discussion of wavelets this this idea and and especially in 28 their applications in Signal processing image processing um so this uh outlines the lecture as usual uh I'm in continuous time today um so wavelets are functions up to now uh we've been talking about vectors uh input signals was a sequence of samples which it is in reality and the key was the filters now like maybe a fresh start with the idea of multi-resolution for functions and that will lead us to the key functions which are fee the scaling function and W which is the wavelet so that's our goal but but uh I'll be uh like as I say a fresh start on in continuous time before I start could I just mention what I maybe haven't mentioned the uh course web page for the course 18 which is math number 085 actually it's a full year course 1808 5 and 086 out of the applied math book and then I should also mention uh the the course number for uh the w...