Linear Algebra: Basics and Applications

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Related lectures (28)

Convolutional Neural Networks Log in to Mediaspace to watch this video

Covers convolutional neural networks, filter operations, and their applications in signal processing and image analysis.

Estimation and Linear Prediction - Part 2 Log in to Mediaspace to watch this video

Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.

Spectral Estimation Methods Log in to Mediaspace to watch this video

Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.

Signal Processing & Micro-Systems Log in to Mediaspace to watch this video

Covers examples of signal processing, analog signal processing, continuous amplitude modulation, image processing, compression, micro-systems, and medical electronics.

Discrete Signals and Linear Systems Log in to Mediaspace to watch this video

Explores discrete signals, linear systems, categorization examples, and convolution properties in signal processing.

Digital Signal Processing: Transform in Z Log in to Mediaspace to watch this video

Explores the Transform in Z, a key tool in digital signal processing.

Matrix Norms: Spectral and Frobenius Log in to Mediaspace to watch this video

Covers matrix norms, including the spectral and Frobenius norms.

Introduction to Optimization Log in to Mediaspace to watch this video

Introduces linear algebra, calculus, and optimization basics in Euclidean spaces, emphasizing the power of optimization as a modeling tool.

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