# How to do continuous signal processing (i.e without windowing)?

I'm working in speech recognition research, and I wonder if there is a way to analyse sound just like how ears do (i.e. without windowing), so for example to take some feature continuously with an update for each new sample.

It is similar to talk about windowing with overlapping ratio of 99% or something like this, you can look at the question like: How does ear working without windowing concept?

• wavelets might be fine – LJSilver May 6 '16 at 12:18
• can you provide a link for this specific feature (window-less transform) ? – Mostafa 36a2 May 6 '16 at 12:23

$$y_k[n] = e^{j2\pi k/N} y_k[n-1] + x[n]$$
where $k= 0,1,\ldots, N-1$, so that $y_0$ is the DC or zero frequency term.