montreal friend scale by amon tobin

white noise contains all possible harmonics/notes/chords. by filtering out narrow frequency bands from the noise, pure sine wave notes become audible. weve limited these bands to only ever reveal specific notes from a particular musical scale. 

each piece then, is a unique iteration of this scale with different notes from it gaining prominence. sometimes they will be chordal and sometimes dissonant but always beautiful because the scale is beautiful.

visually, the white noise is represented by particles which congeal into dense lines. each line that appears is a specific note you can hear and it"s amplitude is defined by the corresponding particle density. chords are represented by the lines crossing over each other.

so in summary, it"s a quite literal visual representation of sound moving from an arbitrary form to musical form. natural order from chaos with infinitely variable patterns depending on which notes are audible. 

*note weve implemented the following variables for more radical variation in particle behavior in addition to the random generation of notes and their corresponding patterns.

- particles will either form straight line shapes or curved shapes 
- particles with vary in size from one iteration to another 
- particles will either favor white or black as their prominent b&w bias creating stark contrast between iterations as well as variables in between the two extremes
- some iterations will reveal faster and some slower

montreal friend scale #279

montreal friend scale #95

Cryptoblots by Dam Aggott-Hnsch

A cryptoart collectible series to indulge the irrepressible human compulsion for pareidolia. This algorithmic homage to Hermann Rorschach"s inkblot perception test will help you externalize your inner world onto the sometimes elegant, sometimes inchoate curves of a unique, one-of-a-kind, ownable cryptoblot on the Ethereum blockchain. What will YOUR cryptoblot reveal about you?

Cryptoblots #1239

Cryptoblots #285

Apparitions by Aaron Penne

Apparitions is an exploration of the space between algorithmic and organic. Each Apparition is unique to the transaction that originated it. Created by Aaron Penne