# The notion of basis in infinite dimensional (topological) vector spaces

As in the title I would like to clear my mind about what is meant by a basis in infinite dimension, especially in the case where the vector space is endowed with a compatible topology.
What I know is:

• Hamel basis: a collection of linearly idependent vectors whose finite linear combinations express all the elements of the space. This notion should be independent of whether we place a topology on the vector space or not. We can always prove the existence of such a basis through Zorn's Lemma
• Schauder basis: a collection of linearly independent vectors such that the closure of its span coincides with the whole space, in other terms we can express any vector of the space as an infinite sum. I also know this collection as a complete system. By its definition, it seems to me this concepts fits only in the case of Topological Vector Spaces. I do not know any existence results.
• Orthonormal basis, or Fourier basis: a particular case of Schauder basis in separable Hilbert spaces. I know a characterization, which states that TFAE: B is a orthonormal basis, $$B^\perp=0$$, Parseval identity holds, the series of Fourier coefficients of any vector is $$<\infty$$ (aka Fischer-Riesz theorem).

What I would like to know is what are other concepts or generalization of the idea of basis in particular, if any, in the case of Topological Vector Spaces which are not normable, such as locally convex.