Analog-Digital & Digital-Analog Converters

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Related lectures (31)

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Analog-to-Digital Conversion: Flash Converter and Weighted Currents

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

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.

Signal Processing: Sampling and Reconstruction

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

Digitization: Neural Interfaces and Amplifiers

Explores digitization in neural interfaces, covering MOS models, CMOS amplifiers, noise factors, DC offset, and ADC basics.

Sampling: Signal Reconstruction and Aliasing

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

Signal Processing: Sampling and Reconstruction

Covers the concepts of quantization, coding, and sampling in signal processing.

Signals & Systems I: Micro-Systems and Communication Systems

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

Analog-Digital Conversion: Principles and Implementations

Explores analog-digital conversion principles, quantization, and converter implementations, emphasizing speed, precision, and energy efficiency.

Principles of Digital Communication

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

A/D and D/A Conversion Fundamentals

Covers the fundamentals of A/D and D/A conversion techniques and their implementation.