Lectures related to Quantum and Nanocomputing

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

Implementation of Sampling and Quantization

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

Digitization: ADC Operation and Architectures

Explains ADC operation, quantization, encoding, and different architectures, covering ENOB, SNDR, and ADC comparison.

Digitization: Neural Interfaces and Amplifiers

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

Principles of Digital Communication

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

Noise in Data Acquisition

Explores noise sources in data acquisition, including thermal, shot, and amplifier noise, as well as the effects of ADC noise.

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.

Oversampled A-D Conversion

Covers oversampled analog-to-digital conversion and its impact on signal-to-noise ratio.

Quantization: Basics and Uniform Input

Explores quantization in digital devices, covering scalar and uniform quantization, mean square error, and signal-to-noise ratio.

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.

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.

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.

Quantization and Coding of Digital Signals Log in to Mediaspace to watch this video

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

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.

Electrical Metrology: Noise Reduction Techniques Log in to Mediaspace to watch this video

Explores noise reduction techniques in electrical metrology, covering properties of charge, current, voltage, noise sources, and filtering methods.

A/D and D/A Conversion Fundamentals Log in to Mediaspace to watch this video

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

Analog-Digital & Digital-Analog Converters Log in to Mediaspace to watch this video

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

Analog-Digital Conversion: Fundamentals Log in to Mediaspace to watch this video

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

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: 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.