DSP

Some of our software are founded on research into digital signal processing on mobile platforms. Conventional real-time algorithms in signal analysis and synthesis, while moderately CPU-intensive, may prove cumbersome or impractical in most mobile implementations, where a fine balance must be achieved between usability and resource-conservation. Hence, we focus on creating algorithms that act on heuristically chosen data sets, and seek to reduce time complexity and operation counts in the implementations. Additionally, we develop dynamic programming routines in signal synthesis to minimize system impact due to computations on raw sound data.

Audio

Some of our offerings are solely focused on audio analysis or rendering. Consequently, we are continuing research into available formats and encodings, including MPEG, PCM, and MP3 with an eye towards future applications.

Probability & Discrete Randomness

We are experimenting with algorithms based on Game Theoretic and Bayesian models to provide the basis for future implementations. Our aim is to create compact engines for behavioral estimation and randomness generators in interactive software.