Skip to main content
Graph
Search
fr
|
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Discrete-Time Control Systems: Implementation
Graph Chatbot
Related lectures (31)
Previous
Page 2 of 4
Next
Approximate Query Processing: BlinkDB
Introduces BlinkDB, a framework for approximate query processing using sampling techniques.
Ceramics: Powder Characterization
Explores the characterization of powders in ceramics, emphasizing the impact on ceramic properties and the manufacturing process.
Wireless Receivers: Parameter Estimation
Covers parameter estimation in wireless receivers and phase ambiguity in signal modeling.
Generative Models: Boltzmann Machine
Covers generative models, focusing on Boltzmann machines and constrained maximization using Lagrange multipliers.
Implementation of Sampling and Quantization
Covers the generation of signals with noise, sampling, and conversion to digital.
Graph Coloring: Theory and Applications
Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.
Explicit Stabilised Methods: Applications to Bayesian Inverse Problems
Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.
Transfer Functions and Control Algorithms
Explores transfer functions, control algorithms, and system transformations in discrete and analog systems, with practical exercises included.
Generative Models: Self-Attention and Transformers
Covers generative models with a focus on self-attention and transformers, discussing sampling methods and empirical means.
Numerical Control of Dynamic Systems
Covers topics like digital filtering, stability, and discrete systems, including experiments and manipulations.