So if I do not normalize over channel dimension,  I would:
(1) normalize over HW elements for each channel of each example in a minibatch (i.e. compute NC mean and variance values)
(2) use scale and bias parameters for each element in the same channel of every examples in the minibatch (i.e. CHW scale and bias parameters)
Am I correct ?