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System Identification: Theory for the User

Lennart Ljung, Linkoping University, Sweden
Beginner
Book
Theory

From the Back Cover

The field's leading text, now completely updated. 

Modeling dynamical systems ― theory, methodology, and applications. 

Lennart Ljung's System Identification: Theory...

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Conventional and Adaptive Beamformers

Mathworks
Intermediate
Example
Application

This example illustrates how to apply digital beamforming to a narrowband signal received by an antenna array. Three beamforming algorithms are illustrated: the phase shift beamformer...

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Fast chirp FMCW Radar in automotive applications

Ziqiang Tong, Ralf Reuter, Masahiko Fujimoto
Advanced
Peer Reviewed Paper
Theory

FMCW (frequency-modulated continuous wave radar) modulations have been popularly implemented in the automotive radar applications. This document demonstrates system requirement for a new...

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Multi-agent reinforcement learning: An overview

L. Bus ̧oniu, R. Babusˇka, and B. De Schutter
Intermediate
Peer Reviewed Paper
Theory

From the abstract:

Multi-agent systems can be used to address problems in a variety of do- mains, including robotics, distributed control, telecommunications, and economics. The complexity...

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Reinforcement Learning: An Introduction

Richard S. Sutton and Andrew G. Barto
Beginner
Book
Theory

From the book introduction:

The idea that we learn by interacting with our environment is probably the first to occur to us when we think about the nature of learning. When an infant plays...

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Multibeam Radar for Adaptive Search and Track

Mathworks - Brian Douglas
Intermediate
Example
Application

This MATLAB example shows how to use radarDataGenerator for a closed-loop simulation of a multifunction phased array radar (MPAR). The example starts by defining MPAR system parameters and...

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