Analog-to-Digital Conversion

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (33)

Principles of Digital Communication

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

Sampling of Signals 6: Sampling a Pure Sinusoid

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

Sampling and Reconstruction Theory

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

Signal Sampling: Sampling

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

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.

Practical Engineering 1: Signal Processing

Explores advanced software engineering topics and signal processing using lazy lists to build a sound synthesizer from scratch.

Implementation of Sampling and Quantization

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

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.

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.

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

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.

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.

Analog-to-Digital Conversion: Flash Converter and Weighted Currents Log in to Mediaspace to watch this video

Explores analog-to-digital conversion using flash converters and weighted currents.

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-to-Digital Conversion Basics Log in to Mediaspace to watch this video

Explores analog-to-digital conversion basics, covering static and dynamic characteristics, resolution, quantization, and conversion rate.

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.

The Sampling Theorem Log in to Mediaspace to watch this video

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

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.

Page 1 of 2