Smart Sensors for the IoT: ADCs Fundamentals

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Related lectures (30)

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Principles of Digital Communication

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

Sampling and Reconstruction

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

Phase-Locked Loops: Basics and Applications

Explores Phase-Locked Loops, Lock-in Amplifiers, and Oscilloscopes in electrical metrology.

Signal Sampling 4: Ideal Low-Pass Filtering

Explores ideal low-pass filtering of signals to reduce noise and distortions.

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

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

Signals and Systems: Sampling Theorem and Applications

Discusses the sampling theorem and its applications in signal processing.

A/D and D/A Conversion Fundamentals

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

Signal Sampling and Reconstruction

Covers signal sampling, reconstruction, aliasing, and examples of signal reconstruction using low-pass filters.

Mobile Networks: Essential Transformations

Explores the evolution and impact of mobile networks, discussing the challenges and advancements in wireless technologies.

Signal Sampling: Sampling

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