Signal Representations

Related lectures (31)

Page 3 of 4

Introduces function spaces and Hilbert spaces, discussing inner product spaces and the importance of completeness in Hilbert spaces.

Covers the principles of quantum physics, focusing on tensor product spaces and entangled vectors.

Covers abstract variational problems in Hilbert spaces, focusing on boundedness, continuity, and coercivity.

Offers a crash course on quantum mechanics, covering vector spaces, superposition, observables, and self-adjoint operators.

Explores Hilbert spaces, orthonormal systems, and the Bessel inequality, emphasizing their properties and significance.

Covers the definition and properties of Hilbert spaces, including the Cauchy-Schwarz inequality and norm definition.

Explores thought experiments with polarisation qubits of photons and the concept of superposition in Hilbert space.

Explores redescription SVM and Hilbert spaces for solving nonlinear problems using inner product spaces and separable Hilbert spaces.

Covers linear algebra in Dirac notation, emphasizing the scalar product and density product in quantum computations.

Explores linear operators, boundedness, and vector spaces with a focus on verifying bounded aspects.