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MATLAB function: phased.LCMVBeamformer

Mathworks - Brian Douglas
Intermediate
Article / Blog
Application

The phased.LCMVBeamformer object implements a narrowband linear-constraint minimum-variance (LCMV) beamformer for a sensor array. The LCMV beamformer belongs to the family of constrained...

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Minami's Control School (Japanese)

Yuki Minami
Beginner
Video
Theory

教員のみなみゆうきです.専門は制御工学です.制御工学は「モノの動きをデザインする科学」です.制御工学を勉強したいという方に,僕の知識をすこしでも届けられると良いなと思い,YouTubeをやっています.

2019年の秋,講義ノートの作成の様子を撮影し,YouTubeに動画をアップロードしたのを契機として,動画作成をはじめました...

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Yann LeCun’s Deep Learning Course at CDS

Yann LeCun, Alfredo Canziani
Intermediate
Course
Theory

This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning...

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1D Kinematics - Speed, Velocity, Acceleration

Lectures by Professor Walter Lewin, MIT OCW
51 min
Beginner
Video
Theory

Walter Lewin is one of the most reputed professors and was a former lecturer at MIT. His free to watch series on YouTube titled 8.01 is an excellent one for undergrads and high school...

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Understanding P, I, and D

R. Russell Rhinehart
30 min
Intermediate
Article / Blog
Theory

Understanding what the proportional, integral, and derivative terms do within the PID controller is essential to choose appropriate action, trouble shoot controllers, chose appropriate...

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The Linear Quadratic Regulator

Laurent Lessard
Beginner
Article / Blog
Theory

In these notes, we will derive the solution to the finite-horizon linear quadratic regulator (LQR) problem in several different ways. Fundamentally, LQR can be viewed as a large least...

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Robotarium by Georgia Tech

Georgia Tech
0 min
Intermediate
Remote Lab
Application

The Robotarium project provides a remotely accessible swarm robotics research platform that remains freely accessible to anyone. Currently, Robotics research requires significant investments...

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Intro to Data Science: What is Data Science?

Steve Brunton
8 min
Beginner
Video
Theory

This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e...

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