Wiener filter

Related lectures (31)

Page 3 of 4

Explores correlation measures, matched filtering, and feature extraction in image processing.

Covers signal processing with digital filters and embedded systems, focusing on practical applications.

Covers the theory and application of the Wiener filter for discrete-time stochastic processes.

Covers inference engines based on resolution, Horn clauses, filtering, and unification in artificial intelligence.

Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.

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

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

Covers the deconvolution problem and Image-Domain CLEAN method for restoring images.

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

Explores ideal low-pass filtering of signals to reduce noise and distortions.