Discrete time and continuous time
In mathematical dynamics, discrete time and continuous time are two alternative frameworks within which variables that evolve over time are modeled. (Wikipedia).
In mathematical dynamics, discrete time and continuous time are two alternative frameworks within which variables that evolve over time are modeled. (Wikipedia).
Closed loop discrete controller Lecture 2019-04-08
Evaluating the response of a continuous system controlled by a discrete controller using several methods
From playlist Discrete
Discrete-Time Dynamical Systems
This video shows how discrete-time dynamical systems may be induced from continuous-time systems. https://www.eigensteve.com/
From playlist Data-Driven Dynamical Systems
Discrete versus Continuous Random Variables
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From playlist Statistics
Introduction to Discrete and Continuous Variables
This video defines and provides examples of discrete and continuous variables.
From playlist Introduction to Functions: Function Basics
Introduction to Discrete and Continuous Functions
This video defines and provides examples of discrete and continuous functions.
From playlist Introduction to Functions: Function Basics
This video explains what is taught in discrete mathematics.
From playlist Mathematical Statements (Discrete Math)
Discrete Data and Continuous Data
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From playlist Statistics
Random Variable Examples with Discrete and Continuous
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Random Variable Examples with Discrete and Continuous
From playlist Statistics
Lecture 19 | The Fourier Transforms and its Applications
Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261). Professor Osgood demonstrates aliasing by showing the class what happens when you under sample music. The Fourier transform is a tool for solving physical probl
From playlist Lecture Collection | The Fourier Transforms and Its Applications
Lecture 20 | The Fourier Transforms and its Applications
Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261). Professor Osgood continues his lecture on the Discrete Fourier Transform. The Fourier transform is a tool for solving physical problems. In this course the emph
From playlist Lecture Collection | The Fourier Transforms and Its Applications
Aliasing and the Sampling Theorem Simplified
http://AllSignalProcessing.com for free e-book on frequency relationships and more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. A presentation of aliasing, the sampling theorem, and the Fourier transform representation of a sampled s
From playlist Sampling and Reconstruction of Signals
http://AllSignalProcessing.com for free e-book on frequency in signal processing and much more. Introduction to continuous- and discrete-time sinusoids, relationship between discrete- and continuous-time frequency through sampling, and illustration of using sinusoids to represent more com
From playlist Introduction and Background
Lecture 23, Mapping Continuous-Time Filters to Discrete-Time Filters | MIT RES.6.007
Lecture 23, Mapping Continuous-Time Filters to Discrete-Time Filters Instructor: Alan V. Oppenheim View the complete course: http://ocw.mit.edu/RES-6.007S11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT RES.6.007 Signals and Systems, 1987
Lecture 15, Discrete-Time Modulation | MIT RES.6.007 Signals and Systems, Spring 2011
Lecture 15, Discrete-Time Modulation Instructor: Alan V. Oppenheim View the complete course: http://ocw.mit.edu/RES-6.007S11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT RES.6.007 Signals and Systems, 1987
Lecture 10, Discrete-Time Fourier Series | MIT RES.6.007 Signals and Systems, Spring 2011
Lecture 10, Discrete-Time Fourier Series Instructor: Alan V. Oppenheim View the complete course: http://ocw.mit.edu/RES-6.007S11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT RES.6.007 Signals and Systems, 1987
Lecture 24, Butterworth Filters | MIT RES.6.007 Signals and Systems, Spring 2011
Lecture 24, Butterworth Filters Instructor: Alan V. Oppenheim View the complete course: http://ocw.mit.edu/RES-6.007S11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT RES.6.007 Signals and Systems, 1987
Discrete Time Fourier Transform explained visually
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From playlist Fourier and Laplace
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Definition and properties of the bilinear transform for converting between continuous- and discrete-time system representations in the context of fi
From playlist Infinite Impulse Response Filter Design
Connecting discrete and continuous systems
To have an effect in the real world, discrete systems have to sample sample continuous signals to operate on them and reconstruct their outputs to continuous signals. This video explains this and the problems associated with the z transform
From playlist Discrete
