Power spectral density and noise correlations

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Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.

Noise in Devices and Circuits

Explores different types of noise in devices and circuits, including interference noise, inherent noise, and random signals.

Laser Noise: Understanding Laser Line Width and Coherence

Explores laser noise, emphasizing laser line width and coherence for precise measurements in amplitude and phase quadrature.

Noise Formalism in Photodetectors: Understanding Detection Limits

Discusses the formalism of noise in photodetectors, focusing on detection limits and the relationship between input power and output current.

Parseval Relations and Fourier Transform

Covers Parseval relations, Fourier series, energy calculation, and correlation in signal processing.

Noise Analysis in Optical Detectors: Key Examples

Covers examples of noise in optical detectors, including avalanche photodiodes and fluorescence correlation spectroscopy.

Signals and Systems I: Fourier Transform and Spectral Analysis

Explores Fourier series, energy calculation, functional spaces, correlation spectra, and spectral density in signals and systems.

Harmonic Signals and Spectrum Estimation

Explores harmonic signals, spectrum estimation, and signal analysis methods using MATLAB tools.

Statistical Signal Processing Tools

Explores statistical signal processing tools for wireless communications, including spectral estimation and signal detection, classification, and adaptive filtering.

Properties of Time-Frequency Domain Signals

Covers the main properties of time-frequency domain signals and their limitations.