Signal Representations

Related lectures (28)

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Covers the properties and operations of vector spaces, including addition and scalar multiplication.

Covers normed spaces, dual spaces, Banach spaces, Hilbert spaces, weak and strong convergence, reflexive spaces, and the Hahn-Banach theorem.

Explores orthogonality between vectors and subspaces, demonstrating practical implications in matrix operations.

Explores polynomial operations, properties, and subspaces in vector spaces.

Introduces abstract concepts in linear algebra, focusing on operations with vectors and matrices.

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

Covers orthogonality, scalar products, orthogonal bases, and vector projection in detail.

Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.

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

Covers fundamental concepts in quantum mechanics, including vector spaces, superposition, observables, and inner product.