Signal Modulation and Sampling

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Related lectures (42)

Principles of Digital Communication

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

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.

Sampling of Signals 6: Sampling a Pure Sinusoid

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

Fourier Transform and Sampling

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

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.

Discrete Fourier Transform: Sampling and Interpretation

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

Implementation of Sampling and Quantization

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

Signal Sampling MOOC: Information, Computation, Communication: Introduction to computational thinking

Explores representing analog signals digitally through sampling and quantization, discussing sampling frequency, undersampling consequences, and the stroboscopic effect.

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.

Signals and Systems: Sampling Theorem and Applications Log in to Mediaspace to watch this video

Discusses the sampling theorem and its applications in signal processing.

Signals & Systems I: Micro-Systems and Communication Systems Log in to Mediaspace to watch this video

Introduces the fundamentals of signals and systems, communication systems, and signal processing.

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.

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

Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.

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.

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.

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.

Analog Signal Sampling and Modulation Log in to Mediaspace to watch this video

Covers analog signal sampling, modulation techniques, and eye diagram monitoring in optical communication systems.

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 and Reconstruction Log in to Mediaspace to watch this video

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

The Sampling Theorem Log in to Mediaspace to watch this video

Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.

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