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Related lectures (30)

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Kalman Filter: Channel Estimation and Control

Explores Kalman Filter for estimating channel coefficients in communication systems and its performance in noisy environments.

Kalman Filter: Linearized vs Extended

Discusses the limitations of a linearized Kalman filter and introduces the extended Kalman filter.

Multivariable Control: State Estimation and Kalman Filtering

Explores state estimation and Kalman filtering for multivariable control systems, with applications in communication channels and vehicle navigation.

Distributed Intelligent Systems: Kalman Filters and Flocking

Explores Kalman filters, flocking behaviors, and decentralized control in distributed intelligent systems.

Kalman Filter: Introduction

Introduces the Kalman Filter, a method to estimate system state from noisy measurements.

Quantum Field Theory II: Cross Section & Lifetime

Covers cross section, lifetime, quantum fluid, asymptotic states, discrete symmetries, and normal ordering in quantum field theory.

Linear Estimation and Prediction

Explores linear estimation, Wiener filters, and optimal prediction in signal processing.

Model-Based Deep Reinforcement Learning: Monte Carlo Tree Search

Explores model-based deep reinforcement learning, focusing on Monte Carlo Tree Search and its applications in game strategies and decision-making processes.

Filter Usage

Covers the usage of filters in the EPFL Service Desk environment and managing group assignments.

Advanced Filtering in Professor Recruitment List

Covers advanced filtering techniques in navigating the professor recruitment list.