
Linear Regression 3 [Python]
This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 3).
See MoreSVD: Eigenfaces 2 [Python]
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Python code, part 2).
See MoreSimulating the Lorenz System in Matlab
This video shows how simple it is to simulate dynamical systems, such as the Lorenz system, in Matlab, using ode45.
See MoreMoving Average Filter - Theory and Software Implementation
Moving average filter theory (time domain, frequency domain, Z-transform, FIR, etc..) and software implementation on a real-time embedded system using an STM32 microcontroller and a...
See MoreData-Driven Control: Balanced Truncation and BPOD Example
In this lecture, we explore balanced truncation and BPOD on a numerical example in Matlab.
See MoreSVD: Optimal Truncation [Python]
This video describes how to optimally truncate the singular value decomposition (SVD) for noisy data (Python code).
See MoreSliding Mode Control Design for a Robotic Manipulator
This MATLAB/Simulink example shows how to design a controller for a robotic manipulator with two actuated joints using sliding mode control (SMC). SMC is useful for systems that require...
See MoreLinear Regression 2 [Python]
This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 2).
See MoreHow the Flight Controller Code Works - dRehmFlight VTOL
This video will walk you through the flight controller code of dRehmFlight VTOL to give you a better understanding of the contents and structure. The hope is that it will cover almost...
See MoreSVD: Eigenfaces 2 [Matlab]
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Matlab code, part 2).
See MoreSimulating the Logistic Map in Matlab
This video shows how simple it is to simulate discrete-time dynamical systems, such as the Logistic Map, in Matlab.
See MoreIIR Filters - Theory and Implementation (STM32)
Tutorial on IIR (Infinite Impulse Response) digital filters, including digital filtering overview, IIR filter theory, FIR vs IIR, Z-transform design/analysis, design using analogue...
See MoreSVD: Optimal Truncation [Matlab]
This video describes how to optimally truncate the singular value decomposition (SVD) for noisy data (Matlab code).
See MoreSliding Mode Control Design for Mass-Spring-Damper System
This MATLAB/Simulink example describes the fundamentals of sliding mode control (SMC) and uses SMC to control a mass-spring-damper system.
See MoreLinear Regression 1 [Python]
This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 1).
See MoreRatio Control and Scaled Signal Calculations
When and how to use ratio, and how to implement within standard scaled signals
See MoreSVD: Eigenfaces 1 [Python]
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Python code, part 1).
See MoreFIR Filter Design and Software Implementation
FIR (Finite Impulse Response) filter theory, design, and software implementation. Real-time software implementation on a custom STM32-based PCB. Overview of digital filtering, use-cases...
See MoreSVD: Eigenfaces 4 [Matlab]
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Matlab code, part 4).
See MoreData-Driven Control: ERA/OKID Example in Matlab
In this lecture, we explore the observer Kalman filter identification (OKID) and eigensystem realization algorithm (ERA) in Matlab on an example.
See MoreLinear Regression 1 [Matlab]
This video describes how the singular value decomposition (SVD) can be used for linear regression in Matlab (part 1).
See MoreSVD: Eigenfaces 1 [Matlab]
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Matlab code, part 1).
See MoreSVD: Eigenfaces 3 [Python]
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Python code, part 3).
See More