Analog-Digital Conversion: Principles and Implementations

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

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

Analog-Digital Conversion: Fundamentals

Explores the basics of analog-to-digital and digital-to-analog conversion processes, including sampling and coding.

Analog-Digital & Digital-Analog Converters

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

Analog and Digital Conversion

Explores analog and digital signal processing, A/D and D/A conversion, resolution, settling time, and digital interfaces in electronic circuits.

Sampling and Reconstruction

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

Smart Sensors for the IoT: ADCs Fundamentals

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

Neural Signal Compression

Explores analog-to-digital conversion, neural signal optimization, multichannel architectures, and on-chip compression techniques in neuroengineering.

Quantization and Coding of Digital Signals

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

Signals & Systems I: Introduction and Signal Processing

Covers introductory lessons on signals and systems, signal processing, and practical applications like image compression and multimedia.

An Introduction to Signal Processing

Covers the fundamentals of signal processing, analog-digital conversion, and applications of ADCs and DACs in environmental engineering.