Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Image Processing I: Sampling Theory and Aliasing Problems
Graph Chatbot
Related lectures (30)
Previous
Page 3 of 3
Next
Image Processing I: Ordered Dithering and Fourier Transform
Explores ordered dithering and Fourier transform in image processing.
Fourier Transform: Circuit Analysis
Explores the Fourier transform applied to circuit analysis and its properties.
Discrete-Time Fourier Transform
Explores the discrete-time Fourier transform, its properties, and signal transformations, including examples like the rectangular pulse and unit impulse.
Sampling and Reconstruction: Gaussian Signal Quality Analysis
Explores Fourier analysis, sampling, and signal reconstruction quality assessment through practical experiments.
Fourier Filters: Techniques for Image Processing
Covers Fourier filtering techniques using the 4F system for image processing and enhancement.
Fourier and Laplace Transforms: Concepts and Applications
Provides an overview of Fourier and Laplace transforms, their properties, and applications in signal analysis.
Fourier Transform: Basics and Examples
Explains the basics of Fourier transform and demonstrates its application through examples, including periodic functions and Fourier Transform Pairs.
The Fourier Transform
Introduces the basics of the Fourier Transform, covering concepts like resolution, periodicity, 2D transforms, amplitude, phase, and convolution.
Signals and Systems: Sampling Theorem and Applications
Discusses the sampling theorem and its applications in signal processing.
Fourier Analysis: Fourier Series and Transform
Explores Fourier series, DFT, FFT, and their applications in signal processing and spectroscopy.
