This week dealt with the focus of the FFT and other conversion formulas. In recognizing that the Fast Fourier Transform is an algorithm that computes the discrete Fourier transform (DFT) of a sequence, or its inverse (IDFT), you understand how that mainly relates to Fourier analysis and converting a signal from its original domain (often time and\/or space) to a representation in the frequency domain and vice versa. With my current project, I am trying to understand how this relates between the signal processing and MIDI, and how that will allow me to transfer the signals into the shapes that I will be making in Jitter and MaxMSP. In understanding the multiple ways in which the transforms work I can use the signals that I get by decomposing a sequence of values into components of different frequencies, which will then generate multiple sounds, and that hopefully can be somewhat composed into a song or piece that is made through the patch. Currently SoundStroll 2.0, but it might end up being a whole different concept and Max patch when it’s done. In understanding what changes are being made, the new product could be thought of as a completely different three-dimensional audiovisual spatialization software.\u00a0 My main work has been with working to create a different audiovisual projection whilst working with MIDI and other signals to get different spatialization in MaxMSP, this was concurrently added to my paper, and it was also worked on in MaxMSP and Jitter. <\/p>\n","protected":false},"excerpt":{"rendered":"