Analog-Digital Conversion: Fundamentals

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Explores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.

Fourier Transform

Covers the Fourier Transform, properties, periodic signals, and digital signals.

Fourier Transform and Sampling

Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.

Sampling and Reconstruction

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

Principles of Digital Communication

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

Hardware Technologies and Applications

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

Digital Signal Processing: Theory

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

Analog-to-Digital Conversion Basics

Explores analog-to-digital conversion basics, covering static and dynamic characteristics, resolution, quantization, and conversion rate.

Analog-to-Digital Conversion

Explores analog-to-digital conversion principles, covering resolution, sampling rate, and conversion characteristics.

Transfer Functions and Control Algorithms

Explores transfer functions, control algorithms, and system transformations in discrete and analog systems, with practical exercises included.