64 bit floating point index & values designed for multi streaming wave data scattered across times, like microseconds since year 1970. Average amplitude, insert, delete, or cut any immutable shared subwave in log time & memory. AVL tree balancing. Java.
- Uses exponentially less memory and cpu time for common audio editing operations, but linearly higher startup cost.
- AVL tree balancing does rotations on left and right childs to keep tree of subwaves short.
- Java's double floating point type has 52 digit bits, 11 exponent bits, and 1 sign bit, and its used for continuous time index and continuous audio amplitude, which is accurate enough to specify high quality audio relative to many years ago or in the future.
- What would take gigabytes or terabytes in linear audio systems, can be represented in megabytes if done through mutations in this system.
Be the first to post a review of Immutable Sparse Wave Trees!