Lecture
Filtering before Sampling
Related lectures (34)
Sampling: Signal Reconstruction and Aliasing
Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.
A/D and D/A Conversion Fundamentals
Covers the fundamentals of A/D and D/A conversion techniques and their implementation.
LTI Systems: Analysis and Properties
Covers the analysis and properties of Linear Time-Invariant (LTI) systems.
Sampling and Reconstruction
Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.
Filtering and Sampling of Signals
Explores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.
Signals, Instruments, and Systems
Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Sampling and Reconstruction
Covers the concepts of sampling and reconstruction in signal processing, explaining the conditions for accurate reconstruction.
Linear Time Invariant Filters: Time Series
Explores estimation, ergodicity, sampling, and linear time invariant filters in time series analysis.
Numerical Control of Dynamic Systems
Covers topics like digital filtering, stability, and discrete systems, including experiments and manipulations.
Reconstruction: Sampling Theorem
Explores signal reconstruction, sampling frequency, and the stroboscopic effect.