Mixture models: nesting structures

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (29)

Page 2 of 3

Fourier Transform: Compression and Analysis

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

Wave Propagation: General Solutions

Explores the general solutions for wave propagation and Fourier transforms in periodic functions.

Fractal Uncertainty Principle and Spectral Gaps

Delves into the Fractal Uncertainty Principle for the Fourier transform and spectral gaps, including specialized cases for Cantor sets.

Lebesgue Measure and Fourier Analysis

Explores Lebesgue measure, Fourier analysis, PDE applications, and optimal transport in PDEs.

Fourier Transforms in Tomography: Inversion Techniques

Covers the application of Fourier transforms in tomography, focusing on the Radon transform and its inversion techniques.

Time-frequency tiling

Explores the challenges of analyzing speech signals and the concept of time-frequency tiling.

The spectrum of interpolated signals

Explores sinc interpolation and the spectral representation of interpolated signals based on the chosen interpolation period.

Sampling and Spectrum of Signals

Explores sampling signals and their spectrum, highlighting the significance of choosing the right sampling frequency for accurate signal representation.

Discrete-time signals: Fundamentals and Applications

Covers the fundamentals of discrete-time signals, including analysis, synthesis, synchronization, cooling laws, and signal operations.

Signal Processing: Time-Frequency Discretization

Introduces the Time-Frequency Discretization for processing digital signals and covers the quality of discrete approximation and main properties of TFD.