Signals & Systems I: Fourier Series Decomposition

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Numerical Methods: Boundary Value Problems

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

Fourier Transform: Compression and Analysis

Covers the Fourier transform, compression techniques, and spectral analysis of periodic signals.

Fourier Series: Understanding Coefficients and Periodicity

Explores Fourier series coefficients, periodicity, and series relations.

Fourier Transform: Circuit Analysis

Explores the Fourier transform applied to circuit analysis and its properties.

Fourier Transforms: Dirac Delta, Fourier Integral, and Transform

Explores the Dirac delta, Fourier integral, and Fourier transform applications in solving PDE problems.

Fourier Transform: Basics and Examples

Explains the basics of Fourier transform and demonstrates its application through examples, including periodic functions and Fourier Transform Pairs.

Discrete Fourier Transform and FFTW

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

Psychoacoustics and Signal Processing

Explores psychoacoustics, signal processing, and the brain's interpretation of sound frequencies, covering topics like the Missing Fundamental phenomenon and the inner workings of the cochlea.

Spectrogram Analysis: Psychoacoustic Foundations & Signal Processing

Explores spectrogram analysis, including DFT, STFT, and CQT, for tasks like music transcription and onset detection.

Fourier Transform Applications: Image Processing Basics

Covers image processing basics, Fourier transformation, convolution, cross-correlation, and 3D reconstruction using the Radon projection theorem.