Signal representations in vector spaces
- The Shannon-Nyquist sampling theorem
- A first look at basis expansions
- Vector spaces, subspaces, and finite-dimensional bases
- Norms and inner products [Filled]
- Linear approximation in a Hilbert space
- Orthogonal bases [Filled]
- Othogonal projections and the Gram-Schmidt algorithm
- Cosine transforms and image compression
- The lapped orthogonal transform
- Wavelets (I)
- Wavelets (II)
- Riesz bases
- B-splines