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
Sampling: DT-time processing of CT signals
Graph Chatbot
Related lectures (30)
Previous
Page 2 of 3
Next
Signal processing and vector spaces
Emphasizes the significance of vector spaces in signal processing, offering a unified framework for various signal types and system design.
Fourier Transform: Basics and Applications
Covers the basics of the Fourier transform and its applications in signal processing.
Discrete Fourier Transform: Sampling and Interpretation
Explores discrete Fourier transform, signal reconstruction, sampling interpretation, and periodic signal repetition.
Introduction to Sampling
Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.
Signal Processing: Basics and Applications
Covers the basics of signal processing, including Fourier transform, linear systems, and signal manipulation.
Filtering and Sampling of Signals
Explores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.
Signal Processing Fundamentals
Covers the basics of signal processing and electric circuits.
Signals and Systems: Sampling Theorem and Applications
Discusses the sampling theorem and its applications in signal processing.
Discrete Fourier Transform: Introduction and Sampling
Covers the introduction of discrete Fourier transform and its implications on signal reconstruction.
Psychoacoustics and Signal Processing
Explores psychoacoustics, signal processing, and the brain's interpretation of sound frequencies, covering topics like the Missing Fundamental phenomenon and the inner workings of the cochlea.
