It is really hard with FFT to get a good frequency representation. I've described a bit more on the app website why on front page. It's basically like deciding

It is really hard with FFT to get a good frequency representation. I've described a bit more on the app website why on front page. It's basically like deciding whether you want to detect the frequencies well, and loose time resolution, or if you want better time resolution, loose the ability to detect low frequencies :) What I've done is kind of like wavelet transform, but "real-time", and I have one extra feature for "high-resolution" frequency detection that goes in addition, and I've done the math for that myself, I haven't seen it anywhere... Wouldn't have time to do the patent at all, I have another main job :) Ideally, I would rather make something more impressive with it, and then "sell out" :)