feature normalisation problem
That is a common case on image and audio processing, you need to find a way in which dimensions stay the same, such as normalizing per channel.
If you have a 1D vector of features, taking mean and variance of all variables will end up normalizing it in a way, it works in Computer Vision like a charm. It is also a way to reduce the space cost of your normalizing algorithm.