Skip to main content
Graph
Search
fr
|
en
Switch to dark mode
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Signal Sampling: Interpolation
Graph Chatbot
Related lectures (27)
Previous
Page 2 of 3
Next
Reconstruction (sampling theorem) 4: sampling theorem
Covers the interpolation formula to reconstruct a signal from its sampled version.
Error Analysis and Interpolation
Explores error analysis and limitations in interpolation on evenly distributed nodes.
Signals, Instruments, and Systems
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Practical Sampling and Interpolation
Covers practical sampling, interpolation challenges, spectral representation, and Fourier Transform properties.
Interpolation by Intervals: Lagrange Interpolation
Covers Lagrange interpolation using intervals to find accurate polynomial approximations.
Sampling Theorem: Illustration
Explores the sampling theorem through sinusoid reconstruction, under-sampling effects, and signal filtering importance.
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.
FIR-based sampling rate conversion
Covers rational sampling rate change, interpolation, Lagrange approximation, and FIR-based conversion.
Trigonometric Interpolation: Approximation of Periodic Functions and Signals
Explores trigonometric interpolation for approximating periodic functions and signals using equally spaced nodes.
Relationships between transforms
Explores the relationships between various transforms and signal embedding techniques.
