Lecture

Power spectral density and noise correlations

Related lectures (35)
Harmonic Signals and Spectrum Estimation
Explores harmonic signals, spectrum estimation, and signal analysis methods using MATLAB tools.
Signal Processing Fundamentals
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.
Narrow & Spread Spectrum Communications
Explores narrow and spread spectrum communications, harmonic signals, and spectral estimation methods using MATLAB.
Statistical Signal Processing Tools
Explores statistical signal processing tools for wireless communications, including spectral estimation and signal detection, classification, and adaptive filtering.
Laser Systems
Covers the fundamental concepts of laser operation, including dispersion theory, gain and resonators, different types of laser systems, noise characteristics, optical fibers, ultrafast lasers, and nonlinear frequency conversion.
Stochastic Processes: Brownian Motion
Explores Brownian motion, Langevin equations, and stochastic processes in physics.
Frequency Estimation of Noisy Random Signals
Explores digital experiments for frequency estimation of random signals, including shot noise, Brownian motion, and harmonic signals in noise.
Frequency estimation for stochastic signals (large noise)
Covers numerical experiments for frequency estimation of stochastic 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.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.