Lectures related to An Introduction to Signal Processing

Covers embedded systems, power management, communication methods, and field instruments.

Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.

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

Explores phase-locked loops and lock-in amplifiers in electrical metrology, along with digital sampling oscilloscopes and spectrum analyzers.

Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.

Covers digital-to-analog conversion and the role of sound cards in creating audio signals.

Covers IQ demodulation of noisy quantum signals using FPGA and MATLAB.

Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.