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Lecture
Oversampled D-A: Interpolation and Distortion
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Related lectures (28)
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Oversampled A-D Conversion
Covers oversampled analog-to-digital conversion and its impact on signal-to-noise ratio.
FIR-based sampling rate conversion
Covers rational sampling rate change, interpolation, Lagrange approximation, and FIR-based conversion.
LTI Systems: Analysis and Properties
Covers the analysis and properties of Linear Time-Invariant (LTI) systems.
Quantum Computing Fundamentals
Covers quantum computing fundamentals, ADC architectures, oversampling advantages, noise shaping, glitch phenomena, and digital integrated circuit noise.
A/D and D/A Conversion Fundamentals
Covers the fundamentals of A/D and D/A conversion techniques and their implementation.
Error Analysis and Interpolation
Explores error analysis and limitations in interpolation on evenly distributed nodes.
Signal Reconstruction: Sampling Theorem and Interpolation Formula
Explores signal reconstruction through the sampling theorem and interpolation techniques, focusing on the sinc function's role in accurate signal interpolation.
Signals, Instruments, and Systems
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Lagrange Interpolation
Introduces Lagrange interpolation for approximating data points with polynomials, discussing challenges and techniques for accurate interpolation.
Interpolation by Intervals: Lagrange Interpolation
Covers Lagrange interpolation using intervals to find accurate polynomial approximations.
