Stanford Engineering Everywhere: CS223A - Introduction to Robotics

The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of...

Free Video Course in Radar Systems Engineering

This Free Radar Systems Engineering Course (video, audio and screen captured ppt slides) and separate pdf slides) has been developed as a first course in Radar Systems for first year...

Linear Algebra Review

This short course is a quick review of linear algebra, intended for students who have already taken a previous course in linear algebra or have some experience with vectors and matrices. The...

Simulating Test Signals for a Radar Receiver

This example shows how to simulate received signal of a monostatic pulse radar to estimate the target range. A monostatic radar has the transmitter collocated with the receiver. The...

Creating Discrete-Time Models

This MATLAB example shows how to create discrete-time linear models using the tf, zpk, ss, and frd commands.

Systems modeling and representations (French)

Complete course on systems modeling. Includes examples, MATLAB code, and quizzes.

Increasing Angular Resolution with Virtual Arrays

This MATLAB example introduces how forming a virtual array in MIMO radars can help increase angular resolution. It shows how to simulate a coherent MIMO radar signal processing chain using...

MATLAB Example: Train MBPO Agent to Balance Cart-Pole System

This example shows how to train a model-based policy optimization (MBPO) agent to balance a cart-pole system modeled in MATLAB. For more information on MBPO agents, see Model-Based Policy...

Radar Systems Engineering MATLAB Documentation and Examples

The functions in this section give you the MATLAB tools needed to evaluate the performance of a radar system. You can use the radar equation to evaluate the radar received signal-to-noise...

Fixed-Point HDL-Optimized Minimum-Variance Distortionless-Response (MVDR) Be...

This example shows how to implement a fixed-point HDL-optimized minimum-variance distortionless-response (MVDR) beamformer in MATLAB.

RADAR Engineering

Radar technology is used widely today. The principles involved are very fundamental and every engineering student studies them at least once. This playlist covers Radar Engineering for an EE...

Learning From Data

This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical...

MATLAB Example: Solve Constrained Nonlinear Optimization, Problem-Based

This example shows how to find the minimum of a nonlinear objective function with a nonlinear constraint by using the problem-based approach. 

Conventional and Adaptive Beamformers

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...

Multibeam Radar for Adaptive Search and Track

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...

CS224n: Natural Language Processing with Deep Learning | Winter 2021

This course covers the foundations of the effective modern methods for deep learning applied to NLP, a big picture understanding of human languages and the difficulties in understanding and...

Modeling Perturbations and Element Failures in a Sensor Array

This MATLAB example shows how to model amplitude, phase, position and pattern perturbations as well as element failures in a sensor array.

Train Custom LQR Agent with MATLAB

This example shows how to train a custom linear quadratic regulation (LQR) agent to control a discrete-time linear system modeled in MATLAB®.

Math Background for Machine Learning from Carnegie Melon University

This course provides a place for students to practice the necessary mathematical background for further study in machine learning — particularly for taking 10-601 and 10-701. Topics covered...

Reinforcement Learning with MATLAB.

This repository contains series of modules to get started with Reinforcement Learning with MATLAB.

It is divided into 4 stages.

In Stage 1, we start with learning RL concepts by manually...

Modelling, dynamics and control

How do we model the world around us and use this to understand its behaviour? How does behaviour depend upon the engineering choices we make and therefore how do we undertake design to...

Improve SNR and Capacity of Wireless Communication Using Antenna Arrays

The goal of a wireless communication system is to serve as many users with the highest possible data rate given constraints such as radiation power limit and operating budget. To improve the...

Yann LeCun’s Deep Learning Course at CDS

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

Process Dynamics and Control Course

This course focuses on a complete start to finish process of physics-based modeling, data driven methods, and controller design. Although some knowledge of computer programming is required...

Automotive Adaptive Cruise Control Using FMCW Technology

This MATLAB example shows how to model an automotive adaptive cruise control system using the frequency modulated continuous wave (FMCW) technique. This example performs range and Doppler...