Discrete Signals and Linear Systems

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Related lectures (29)

Linear Algebra: Matrices and Vector Spaces

Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.

Signals, Instruments, and Systems: System Properties and Transforms

Introduces system properties, Laplace Transform, and analog filters for signal analysis.

Linear Algebra: Vector Spaces & Operators

Explores vector spaces, linear transformations, matrices, eigenvalues, inner products, and operators.

Linear Algebra Basics

Covers the basics of linear algebra, including linear maps, bases, and matrix operations.

Fourier Transform: Properties and Convolution

Covers the properties and convolution of the Fourier transform.

Functional Analysis and Distribution Theory

Introduces functional analysis, distribution theory, topological vector spaces, and linear operators, emphasizing their importance in engineering applications.

Kernel, Image and Linear Maps

Explains kernel, image, and linear maps, illustrating concepts with examples.

Linear Time Invariant Systems: Impulse Response and Convolution

Covers linear time invariant systems, focusing on impulse response and convolution.

Signals & Systems Review

Provides a comprehensive review of signals and systems, covering topics such as time-domain analysis, frequency-domain analysis, and Fourier transform.

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