Explores the history and efficiency of the fast Fourier transform algorithm, demonstrating its practical applications and computational advantages.
Covers signal processing, electric circuits, Fourier Transform, Kirchhoff's laws, and practical applications in various fields.
Explains the Fast Fourier Transform, a fast algorithm for calculating the Discrete Fourier Transform.
Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.
Introduces the basics of the Fourier Transform, covering concepts like resolution, periodicity, 2D transforms, amplitude, phase, and convolution.
