Displaying 93 resources

Discrete Fourier Transform

This lecture overviews Discrete Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.
Category
Data for AI, Recommendations towards policy changes
Source
AI-OnDemand

Signal Sampling

This lecture overviews Signal Sampling that has many applications in signal acquisition, processing and analysis. It covers the following topics in detail: Discrete/Continuous Signals, Signal Sampling, Signal Reconstruction, Signal Quantization.
Category
Data for AI, Recommendations towards policy changes
Source
AI-OnDemand

Orthogonal Signal Transforms. Fourier Series

This lecture overviews Orthogonal Signal Transforms. Fourier Series that has many applications in signal processing, analysis and compression.
Category
Data for AI, Recommendations towards policy changes
Source
AI-OnDemand

Fourier Transform

This lecture overviews the topics of continuous-time periodic signals, signal frequencies and Fourier Transform (FT).  Its relation to Laplace transform is presented.
Category
Data for AI, Recommendations towards policy changes
Source
AI-OnDemand

Discrete-time Signals and Systems

This lecture overviews discrete-time Signals and Systems topics. Discrete-time signals are presented: periodic signals, delta signal, unit step signal, exponential signal, trigonometric signals, complex exponential signal.
Category
Data for AI, Recommendations towards policy changes
Source
AI-OnDemand

Introduction to Signals and Systems

This lecture overviews Signals and Systems. 1D signals, 2D signals (images), 3D signals (videos, medical volumes) are presented. Multichannel signals come next.
Category
Data for AI, Recommendations towards policy changes
Source
AI-OnDemand