Lectures related to Signal Sampling

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.

Fourier Transform and Sampling

Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.

Sampling of Signals 6: Sampling a Pure Sinusoid

Explores the sampling of pure sinusoids, emphasizing the Nyquist theorem and its practical implications.

Principles of Digital Communication

Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.

Signal Modulation and Sampling

Covers signal modulation, sampling, and their applications in communication systems.

Sampling Signals: Stroboscopic Effect (Spectrum Folding)

Covers the consequences of undersampling signals and the stroboscopic effect.

Signal Sampling: Sampling

Explains signal sampling, the need for discrete sampling, errors, quantization, and choosing the right sampling period.

Implementation of Sampling and Quantization

Covers the generation of signals with noise, sampling, and conversion to digital.

Sampling and Reconstruction Theory

Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.

Discrete Fourier Transform: Sampling and Interpretation

Explores discrete Fourier transform, signal reconstruction, sampling interpretation, and periodic signal repetition.

Signal processing and vector spaces

Emphasizes the significance of vector spaces in signal processing, offering a unified framework for various signal types and system design.

Digital Signal Processing: Theory

Covers the theory of digital signal processing, including sampling, transformation methods, digitization, and PID controllers.

Signals, Instruments, and Systems Log in to Mediaspace to watch this video

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Sampling: DT-time processing of CT signals Log in to Mediaspace to watch this video

Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.

Signals & Systems I: Sampling and Reconstruction Log in to Mediaspace to watch this video

Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.

Sampling: Signal Reconstruction and Aliasing Log in to Mediaspace to watch this video

Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.

Introduction to Sampling Log in to Mediaspace to watch this video

Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.

Sampling and Reconstruction Log in to Mediaspace to watch this video

Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.

Analog and Digital Conversion Log in to Mediaspace to watch this video

Explores analog and digital signal processing, A/D and D/A conversion, resolution, settling time, and digital interfaces in electronic circuits.

Wireless Receivers: Time and Phase Offset Log in to Mediaspace to watch this video

Covers the impact and compensation of time and phase offset in wireless receivers.