Unit content
Signal inner products and orthogonal waveforms
Signals over a fixed observation interval can be compared using an inner product.
For complex continuous-time signals on $[t_0,t_1]$,
$$\langle x,y\rangle=\int_{t_0}^{t_1}x(t)y^*(t),dt.$$
The corresponding squared norm is
$$|x|^2=\langle x,x\rangle,$$
which equals signal energy over that interval.
Two signals are orthogonal when
$$\langle x,y\rangle=0.$$
Orthogonal waveforms can carry independent coefficients because projecting onto one does not pick up a contribution from the other.
For example, sine and cosine at the same frequency are orthogonal over any integer number of periods. This is why in-phase and quadrature carriers can share the same frequency while remaining separable by coherent projection.
Treating waveforms as vectors turns modulation and detection into geometry: transmitted signals become points or directions, and a receiver estimates their coefficients by inner products.