Brush-up on Electronics Design

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Related lectures (32)

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Signal Processing: Sampling and Reconstruction

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

Sampling: DT-time processing of CT signals

Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.

Quantum Computing Fundamentals

Covers quantum computing fundamentals, ADC architectures, oversampling advantages, noise shaping, glitch phenomena, and digital integrated circuit noise.

Semicustom RTL Design: Design Flow and Standard Cells

Explores the RTL design flow, chip-level integration, standard cells, and static timing analysis in VLSI design.

Signals, Instruments, and Systems

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Quantization and Coding of Digital Signals

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

Digital Circuits: Basics

Covers digital signal processing, binary and Boolean logic, and practical examples of digital circuits.

Digital Signal Processing: Theory

Covers the theory of digital signal processing, including sampling, transformation methods, digitization, and PID controllers.

Hardware Technologies and Applications

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

Signals & Systems I: Sampling and Reconstruction

Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.