Lecture
Analog-Digital Conversion: Fundamentals
Related lectures (35)
Analog-Digital Conversion: Principles and Implementations
Explores analog-digital conversion principles, quantization, and converter implementations, emphasizing speed, precision, and energy efficiency.
Digitization: Neural Interfaces and Amplifiers
Explores digitization in neural interfaces, covering MOS models, CMOS amplifiers, noise factors, DC offset, and ADC basics.
Quantum Computing Fundamentals
Covers quantum computing fundamentals, ADC architectures, oversampling advantages, noise shaping, glitch phenomena, and digital integrated circuit noise.
Analog-to-Digital Conversion: Flash Converter and Weighted Currents
Explores analog-to-digital conversion using flash converters and weighted currents.
Quantum and nanocomputing
Explores digital design principles, ADC architectures, FPGA-based ADCs, figures of merit, and lower bounds in digital design.
Analog-Digital & Digital-Analog Converters
Covers Analog-Digital and Digital-Analog conversion, including sampling, quantization, Flash converter, weighted current generation, and R2R network.
Analog-to-Digital Conversion
Explores analog-to-digital conversion principles, covering resolution, sampling rate, and conversion characteristics.
Quantization and Coding of Digital Signals
Explores quantization and coding of digital signals, discussing uniform quantization, error analysis, and signal-to-quantization noise ratio.
A/D and D/A Conversion Fundamentals
Covers the fundamentals of A/D and D/A conversion techniques and their implementation.
Sampling and Reconstruction
Covers the concepts of sampling and reconstruction in signal processing, emphasizing the importance of sampling frequency and reconstruction techniques.