Darrylmorrell Videos

Fourier Analysis-Introduction (Edited)

Introduction to some applications and concepts associated with frequency domain (Fourier) analysis. More instructional engineering videos can be found at http://engineeringvideos.org.

This video is licensed under the Creative Commons BY-SA license http://creativecommons.org/licenses/by-sa/3.0/us/.

Truss Example-Method of Joints (Edited)

Shows how to use the method of joints to analyze the tension in truss members in a 5-joint truss.

This video was created to support courses in the Engineering Department on the Polytechnic campus of Arizona State University. Links to other videos can be found at http://engineeringvideos.org

This video is made available under the Creative Commons BY-SA license.

Convolution Example-Two Rectangular Pulses (Edited)

An example of computing the continuous-time convolution of two rectangular pulses.


This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Kirchhoffs Current Law (Edited)

Introduces Kirchhoff's current law.

More instructional engineering videos can be found at http://engineeringvideos.org.

This video is licensed under the Creative Commons BY-SA license http://creativecommons.org/licenses/by-sa/3.0/us/.

Laplace Transform Example-Unit Step (Edited)

Computing the Laplace transform of the unit step function using the integral definition of the Laplace transform.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Convolution Example-Unit Step with Exponential (Edited)

An example of computing the continuous time convolution of a unit step function with an exponential function.


This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

AM Modulation and Demodulation (Edited)

This video uses properties of the Fourier transform to explain modulation and demodulation inside a simple AM radio system.


This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Op Amp Circuit Analysis: Non-Inverting Amplifier (Edited)

Using an ideal op amp model to find the gain of an op amp in a non-inverting configuration.


This video was created to support courses in the Engineering Department on the Polytechnic campus of Arizona State University. Links to other videos can be found at http://engineeringvideos.org

This video is made available under the Creative Commons BY-SA license.

Fourier Series Example-Square Wave (Edited)

Computing the complex exponential Fourier series coefficients for a square wave.


This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Introduction to the Fourier Transform (Edited)

Introduces the mathematical definition of the Fourier transform as well as magnitude and phase spectra. The Matlab code that created the plots in this video is here: http://engineeringvideos.org/signals-and-systems/introduction-to-the-fourier-transform/ftintroplots-m


This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Fourier Transform Example-Rectangular Pulse (Edited)

Computing the Fourier transform of a rectangular pulse.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Thevenin's Theorem-Independent and Dependent Source (Edited)

Shows how to find the Thevenin equivalent for a circuit with both dependent and independent sources. More instructional engineering videos can be found at http://engineeringvideos.org.

This video is licensed under the Creative Commons BY-SA license http://creativecommons.org/licenses/by-sa/3.0/us/.

1D Kinematics-Acceleration Depends on Velocity

Shows the relationship between velocity, position, and time for a particle whose acceleration is a function of velocity; a simple shock absorber model has this behavior.

This video was created to support courses in the Engineering Department on the Polytechnic campus of Arizona State University. Links to other videos can be found at http://engineeringvideos.org

This video is made available under the Creative Commons BY-SA license.

1D Kinematics-Acceleration Depends on Position

Shows the relationship between velocity and position for a particle whose acceleration is a function of position.

This video was created to support courses in the Engineering Department on the Polytechnic campus of Arizona State University. Links to other videos can be found at http://engineeringvideos.org

This video is made available under the Creative Commons BY-SA license.

1D Kinematics-Time-varying Acceleration

Shows how to compute velocity and position for a particle with time-varying acceleration.

This video was created to support courses in the Engineering Department on the Polytechnic campus of Arizona State University. Links to other videos can be found at http://engineeringvideos.org

This video is made available under the Creative Commons BY-SA license.

1D Kinematics-Constant Acceleration

Shows how to compute velocity and position for a particle with constant acceleration.

This video was created to support courses in the Engineering Department on the Polytechnic campus of Arizona State University. Links to other videos can be found at http://engineeringvideos.org

This video is made available under the Creative Commons BY-SA license.

DT Fourier Transform-Rectangular Window

Computes the discrete-time Fourier transform of a cosine wave that has been windowed by a rectangular window. This is done using the multiplication property.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Fourier Transform-Filter Output

Computes the output of a filter in response to a square wave input by using the frequency response and the discrete-time Fourier transform. The relationship between DT Fourier series coefficients and DT Fourier transform is also used.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Fourier Transform-Triangle Wave

Computes the discrete-time Fourier transform of a triangle wave using the convolution property.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Fourier Transform-Ideal Filters

Computes the impulse response of ideal low-pass and high-pass discrete-time filters using the frequency shifting property.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Fourier Transform-Rectangular Pulse

Computes the discrete-time Fourier transform of a rectangular pulse.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Introduction to the DT Fourier Transform

Introduces the discrete-time Fourier Transform and shows two simple examples of computing the DT Fourier Transform.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Fourier Transform-Exponential

Computes the discrete-time Fourier transform of an exponential.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Fourier Series-Rectified Sine Wave Part 1

Computes the Fourier series coefficients of a rectified sine wave; the computation is done entirely using Fourier series properties and Fourier series coefficients computed in previous videos. The DTFS properties used include multiplication, time shifting, linearity, and frequency shifting.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Fourier Series-Rectified Sine Wave Part 2

Computes the Fourier series coefficients of a rectified sine wave; the computation is done entirely using Fourier series properties and Fourier series coefficients computed in previous videos. The DTFS properties used include multiplication, time shifting, linearity, and frequency shifting.

Computes the Fourier series coefficients of a rectified sine wave; the computation is done entirely using Fourier series properties and Fourier series coefficients computed in previous videos. The DTFS properties used include multiplication, time shifting, linearity, and frequency shifting.

DT Fourier Series-Periodic Triangle Wave

Computes the discrete-time Fourier series coefficients of a triangle wave using the DTFS convolution property.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Convolution-Periodic Signals

Shows how two discrete-time periodic signals are convolved through an example of convolving a square wave with itself.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Fourier Series-Rectified Sine Wave Part 1

Computes the discrete-time Fourier series coefficients of a rectified sine wave; the computation is done entirely using DTFS properties and Fourier series coefficients computed in previous videos. The DTFS properties used include multiplication, time shifting, linearity, and frequency shifting. Part 1.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Fourier Series-Rectified Sine Wave Part 2

Computes the discrete-time Fourier series coefficients of a rectified sine wave; the computation is done entirely using DTFS properties and Fourier series coefficients computed in previous videos. The DTFS properties used include multiplication, time shifting, linearity, and frequency shifting. Part 2.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Fourier Series-Rectified Sine Wave Part 3

Computes the discrete-time Fourier series coefficients of a rectified sine wave; the computation is done entirely using DTFS properties and Fourier series coefficients computed in previous videos. The DTFS properties used include multiplication, time shifting, linearity, and frequency shifting. Part 3.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Fourier Series-Simple Example

Computes the discrete-time Fourier series coefficients of a waveform with period N=8.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Fourier Series-Periodic Square Wave

Computes the discrete-time Fourier series coefficients of a square wave with period N and pulse width Np samples; the duty cycle is Np/N.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Introduction to DT Fourier Series

Introduces the discrete-time Fourier Series (closely related to the DFT) and shows how to find the Fourier series coefficients of sampled cosine and sine waveforms.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT LTI System Response-Convolution

Shows how the response of a discrete-time LTI (Linear Time-Invariant) system to an arbitrary input is obtained as the convolution of the impulse response of the system with the input.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Convolution-Two Exponentials Part 1

Shows how to compute the discrete-time convolution of two exponential signals. Part 1.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Convolution-Two Exponentials Part 2

Shows how to compute the discrete-time convolution of two exponential signals. Part 2.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Convolution-Two Rectangular Pulses

Shows how to compute the discrete-time convolution of two rectangular pulse waveform.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Convolution-Simple Example Part 1

Shows how to compute the discrete-time convolution of two simple waveforms.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Convolution-Simple Example Part 2

Shows how to compute the discrete-time convolution of two simple waveforms.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT System Properties Example: y[n] = x[n]x[n+1]

Shows how to determine whether the system defined by the equation y[n] = x[n]x[n+1] is 1) memoryless, 2) time invariant, 3) linear, 4) causal, and 5) stable.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT System Properties Example: y[n] = x[n] - x[n-1]

Shows how to determine whether the system defined by the equation y[n] = x[n] - x[n-1] is 1) memoryless, 2) time invariant, 3) linear, 4) causal, and 5) stable.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT System Properties Example: y[n] = nx[n]

Shows how to determine whether the system defined by the equation y[n] = nx[n] is 1) memoryless, 2) time invariant, 3) linear, 4) causal, and 5) stable.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT System Properties Example: y[n] = x[-n] Part 1

Shows how to determine whether the system defined by the equation y[n] = x[-n] is 1) memoryless, 2) time invariant, 3) linear, 4) causal, and 5) stable.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT System Properties Example: y[n] = x[-n] Part 2

Shows how to determine whether the system defined by the equation y[n] = x[-n] is 1) memoryless, 2) time invariant, 3) linear, 4) causal, and 5) stable.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Fourier Series Example-Arbitrary Square Wave Part 2

Computes the Fourier series coefficients of a square wave with arbitrary period T, amplitude A, and duty cycle D. Part 2 shows plots of the magnitude and phase of the Ck's.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

DT Signals-Time Shifting and Reversal

Shows how to time shift and time reverse discrete-time signals.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Summing Geometric Series

Shows how to sum a geometric series.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.

Fourier Series Example-Arbitrary Square Wave Part 1

Computes the Fourier series coefficients of a square wave with arbitrary period T, amplitude A, and duty cycle D. Part 1.

This video was created to support EGR 433:Transforms & Systems Modeling at Arizona State University. Links to other videos can be found at http://engineeringvideos.org and http://sites.google.com/a/asu.edu/signals-and-systems/

This video is made available under the Creative Commons BY-SA license.