Fast Fourier transform

Applied sciences
Information engineering
Signal processing
Fourier analysis

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 1 of 4

The fast Fourier transform

Explores the history and efficiency of the fast Fourier transform algorithm, demonstrating its practical applications and computational advantages.

Numerical Methods: Boundary Value Problems

Covers numerical methods for solving boundary value problems using Crank-Nicolson and FFT.

Fourier transforms: Light-matter interaction

Explores Fourier and Laplace transforms in materials science, focusing on light-matter interaction, diffraction patterns, and crystal properties.

Neurophysiological Data Analysis

Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.

Numerical Methods: Boundary Value Problems

Covers numerical methods for solving boundary value problems, including applications with the Fast Fourier transform (FFT) and de-noising data.

Signal Representations

Covers matrix operations, Fourier transformations, Gaussian models, and signal representations using algebraic methods.

Quantum and Nanocomputing

Explores quantum and nanocomputing fundamentals, including LTspice simulation and FFT analysis.

Discrete Fourier Transform and FFTW

Explores Fourier series, Discrete Fourier Transform, FFTW library, and solving differential equations using FFT algorithms.

Reciprocal lattice: Shape effects

Explains how sample geometry affects the size and shape of reciprocal lattice nodes in multiple beam scattering.

Numerical Methods for Boundary Value Problems

Covers numerical methods for solving boundary value problems using finite difference, FFT, and finite element methods.