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
Wiener Filtering: Theory and Applications
Graph Chatbot
Related lectures (31)
Previous
Page 1 of 4
Next
Continuous-Time Stochastic Processes: Linear System
Covers the analysis of continuous-time stochastic processes in the context of linear systems.
Wiener Filter for Discrete-Time Stochastic Processes
Covers the theory and application of the Wiener filter for discrete-time stochastic processes.
Neural Signals and Signal Processing
Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.
Discrete Fourier Transform: Unlimited Duration Signals
Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.
Neural Signals and Signal Processing
Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.
Neural Signals and Signal Processing
Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.
Fourier Transform: Concepts and Applications
Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
Estimation and Linear Prediction - Part 2
Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.
Signal Representation
Discusses signal representation, focusing on mathematical expressions and inequalities in signal processing.
Neural Signals and Signal Processing: Hemodynamic Imaging
Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.
