Convolution

Applied sciences
Information engineering
Signal processing
Fourier analysis

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 2 of 4

Electric Motors: Principles and Applications

Explores electric motor principles, linearity, control systems, active suspensions, and Laplace transforms.

Fourier Transforms: Properties and Applications

Explores Fourier transforms, including properties, convolution, Parseval's theorem, and energy spectral density for non-periodic functions.

Signals and Systems I: Symmetry Relations and Modulation

Explores symmetry relations, modulation, Fourier transform properties, and integration methods in signals and systems.

Convolutional Neural Networks

Introduces Convolutional Neural Networks, covering fully connected layers, convolutions, pooling, PyTorch translations, and applications like hand pose estimation and tubularity estimation.

Linear Time Invariant Systems

Covers LTI systems, impulse response, convolution, Fourier Transform, and system characterization.

Signals & Systems Review

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

Linear Time Invariant Systems: Impulse Response and Convolution

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

Signals & Systems II: Properties and Stability

Explores properties and stability of signals and systems, including causal systems and compositional stability in convolution.

Discrete-Time Fourier Transform: Properties

Explores the properties of Discrete-Time Fourier Transform, including linearity, time and frequency shifts, time reversal, and convolution.

Deep Learning: Convolutional Networks

Explores convolutional neural networks, backpropagation, and stochastic gradient descent in deep learning.