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
Impulse-train Sampling: The Sampling Theorem
Graph Chatbot
Related lectures (29)
Previous
Page 1 of 3
Next
Signals, Instruments, and Systems
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
The Sampling Theorem
Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.
Frequency Estimation (Theory)
Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
Sampling: Signal Reconstruction and Aliasing
Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.
Discrete Fourier Transform: Sampling and Interpretation
Explores discrete Fourier transform, signal reconstruction, sampling interpretation, and periodic signal repetition.
Fourier Transform and Sampling
Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.
Signals and Systems: Sampling Theorem and Applications
Discusses the sampling theorem and its applications in signal processing.
Discrete Fourier Transform: Frequency Periodicity and Reconstruction
Explores frequency periodicity in the discrete Fourier transform for signal reconstruction.
Sampling: DT-time processing of CT signals
Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.
LTI Communication Systems: Analysis and Reconstruction
Covers the analysis of LTI communication systems and reconstruction techniques for band-limited signals.
