Quantization and Coding of Digital Signals

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

Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.

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

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

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

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

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

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

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

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