Analog and Digital Conversion

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Related lectures (39)

Principles of Digital Communication

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

Implementation of Sampling and Quantization

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

Signal Modulation and Sampling

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

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.

Hardware Technologies and Applications

Explores hardware technologies, quantum electronics, cryogenic systems, quantum computing, and ADC architectures.

Fourier Transform and Sampling

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

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.

Smart Sensors for the IoT: ADCs Fundamentals Log in to Mediaspace to watch this video

Explores ADCs fundamentals for IoT smart sensors, covering quantization, non-idealities, and topologies.

Quantization and Coding of Digital Signals Log in to Mediaspace to watch this video

Explores quantization and coding of digital signals, discussing uniform quantization, error analysis, and signal-to-quantization noise ratio.

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.

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

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

Analog-Digital & Digital-Analog Converters Log in to Mediaspace to watch this video

Covers Analog-Digital and Digital-Analog conversion, including sampling, quantization, Flash converter, weighted current generation, and R2R network.

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 and Reconstruction Log in to Mediaspace to watch this video

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

Quantum and nanocomputing Log in to Mediaspace to watch this video

Explores digital design principles, ADC architectures, FPGA-based ADCs, figures of merit, and lower bounds in digital design.

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.

Sampling and Reconstruction Log in to Mediaspace to watch this video

Covers the concepts of sampling and reconstruction in signal processing, emphasizing the importance of sampling frequency and reconstruction techniques.

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