Lecture
Oversampled D-A: Interpolation and Distortion
Related lectures (33)
FIR-based sampling rate conversionMOOC: Digital Signal Processing I
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.
Reconstruction: Undersampling and Filtering
Explores the impact of undersampling on signals and the solution of pre-filtering to avoid the stroboscopic effect.
Oversampled A-D ConversionMOOC: Digital Signal Processing I
Covers oversampled analog-to-digital conversion and its impact on signal-to-noise ratio.
Smart Sensors for the IoT: ADCs Fundamentals
Explores ADCs fundamentals for IoT smart sensors, covering quantization, non-idealities, and topologies.
A/D and D/A Conversion Fundamentals
Covers the fundamentals of A/D and D/A conversion techniques and their implementation.
Signal Reconstruction: BasicsMOOC: Information, Calcul, Communication: Introduction à la pensée informatique
Explores signal reconstruction basics, including interpolation techniques and formulas using triangular and sinc functions.
Fitting the Transmitter SpectrumMOOC: Digital Signal Processing I
Explains how to fit the transmitter spectrum within the channel's bandwidth constraints.
Practical Sampling and InterpolationMOOC: Digital Signal Processing I
Covers practical sampling, interpolation challenges, spectral representation, and Fourier Transform properties.
Sampling Theorem and Control Systems
Explores the Sampling Theorem, digital control, signal reconstruction, and anti-aliasing filters.