Concept

Adaptive filter

Related lectures (10)

Covers adaptive filtering using the LMS algorithm for immobile recording scenarios, focusing on practical implementation in MATLAB.

Adaptive Denoising: Echo Cancellation

Explores adaptive denoising techniques, emphasizing echo cancellation and the need for real-time adaptive filters.

Adaptive Equalization

Explores adaptive equalization in digital communication systems to compensate for channel distortion and track time-varying conditions.

Adaptive Signal Processing: Filtering & Neural Networks

Explores adaptive signal processing, gradient descent, and the LMS algorithm for efficient filtering and neural network training.

Kalman Filtering: Applications in Control and Communication Systems

Explores the applications of Kalman Filtering in control and communication systems, focusing on state estimation and channel estimation.

Statistical Signal Processing for Wireless Communications

Introduces statistical signal processing tools for wireless communications, emphasizing practical applications and hands-on experience with Python or Matlab.

Image Filtering: Basics and Techniques

Explores image filtering techniques, including linear and nonlinear filters, for artifact removal and feature enhancement.

Estimation: Mean-Squared Error and Fisher Information

Explains estimation through mean-squared error and Fisher information in the context of adaptive filters and exponentiated distributions.

Filter Classification: Time Domain

Covers the classification of filters based on their impulse response shape and their dependency on past or future values.

Optimal Least Square Adaptive Filter: FIR Filter

Explores the Optimal Least Square Adaptive Filter, focusing on the Finite Impulse Response (FIR) Filter and strategies to reduce computational burden.