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
Category
Sampling theory
Applied sciences
Information engineering
Signal processing
Sampling theory
Graph Chatbot
Related lectures (30)
Previous
Page 2 of 3
Next
Sampling and Reconstruction: Gaussian Signal Quality Analysis
Explores Fourier analysis, sampling, and signal reconstruction quality assessment through practical experiments.
Sampling and Reconstruction
Covers the concepts of sampling and reconstruction in signal processing, emphasizing the importance of sampling frequency and reconstruction techniques.
Sampling: Signal Reconstruction and Aliasing
Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.
Signals and Systems: Sampling Theorem and Applications
Discusses the sampling theorem and its applications in signal processing.
Bandpass Sampling
Covers bandpass sampling for signals with limited frequency range, ensuring information preservation through proper sampling techniques.
The Sampling Theorem
Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.
Sampling and Reconstruction Theory
Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.
Analog-to-Digital Conversion: Flash Converter and Weighted Currents
Explores analog-to-digital conversion using flash converters and weighted currents.
Signals & Systems I: Sampling and Reconstruction
Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.
X-ray Imaging: Techniques and Applications
Explores synchrotrons, x-ray lasers, lensless imaging, Nyquist frequency, aliasing, oversampling, and constraints in scattering data analysis.
