-
Module 1: Time vs Frequency Domains
published: 26 Jul 2018
-
Time Domain vs. Frequency Domain, What’s the Difference? – What the RF (S01E02)
Learn the difference between the time and frequency domains
Click to subscribe: http://bit.ly/Labs_Sub
FREE Spectrum Analysis Basics application note ► http://bit.ly/SpecAnBasics ◄
Like our Facebook page for more exciting stuff:
https://www.facebook.com/keysightrf
Check out our blog:
http://bit.ly/RFTestBlog
Learn more about using oscilloscopes: http://oscilloscopelearningcenter.com
Check out the EEs Talk Tech electrical engineering podcast:
https://eestalktech.com
Like our digital counterpart’s Facebook page:
https://www.facebook.com/keysightbench/
In this episode of What the RF (WTRF) Nick goes into detail on the difference between the time domain and frequency domain and demonstrates both on an oscilloscope and signal analyzer respectively.
What exactly is the difference b...
published: 13 Feb 2018
-
Control Systems Lectures - Time and Frequency Domain
Get the map of control theory: https://www.redbubble.com/shop/ap/55089837
Download eBook on the fundamentals of control theory (in progress): https://engineeringmedia.com
This lecture introduces the time and frequency domains. A very quick description of the Laplace Transform is given which will be the base of many of classical control lectures in the future. I will be loading a new video each week and welcome suggestions for new topics. Please leave a comment or question below and I will do my best to address it. Thanks for watching!
Don't forget to subscribe! Follow me on Twitter @BrianBDouglas!
published: 20 Sep 2012
-
Time and frequency domains
This video lesson is part of a complete course on neuroscience time series analyses.
The full course includes
- over 47 hours of video instruction
- lots and lots of MATLAB exercises and problem sets
- access to a dedicated Q&A forum.
You can find out more here:
https://www.udemy.com/course/solved-challenges-ants/?referralCode=293E73E24A95DDF72201
For more online courses about programming, data analysis, linear algebra, and statistics, see
http://sincxpress.com/
published: 20 Dec 2019
-
KVL in the frequency domain
Demonstration that Kirchhoff's voltage law applies in the frequency domain. The voltage phase offsets around a loop sum to zero.
published: 26 Aug 2016
-
Introduction to Frequency Domain Analysis
In this video we introduce the concept of frequency domain analysis for a linear dynamic system. At its core, this involves understanding how the system responds to sinusoidal inputs at steady state. We derive the relationship that shows that for a linear system, when it is subjected to a sin wave input, the output at steady state is the same sin wave but the amplitude is modified and the phase is shifted.
Topics and timestamps:
0:00 – Introduction
4:05 – Partial fraction expansion
15:55 – Response of system in time domain
40:56 – Steady state response of system
51:33 – Example
1:01:35 – Summary (single core idea/equation)
All Control Theory videos in a single playlist (https://www.youtube.com/playlist?list=PLxdnSsBqCrrF9KOQRB9ByfB0EUMwnLO9o)
#Control #ControlTheory
You can support t...
published: 10 Apr 2023
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Image Filtering in Frequency Domain | Image Processing II
First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science Department, School of Engineering and Applied Sciences, Columbia University. Computer Vision is the enterprise of building machines that “see.” This series focuses on the physical and mathematical underpinnings of vision and has been designed for students, practitioners, and enthusiasts who have no prior knowledge of computer vision.
published: 03 Mar 2021
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Circuits I: Example - Frequency Domain Equivalent Circuit
This video examines the process for converting a circuit in the time domain to the frequency domain using impedances and phasor transforms.
University of California, Davis
ENG17: Circuits I, Spring Quarter 2015
Instructor: Dr. Kyle Montgomery
Course Website: http://www.kmontgomery.net/teaching/eng17/
published: 28 May 2015
-
Frequency domain – tutorial 1: concept of frequency (with Chinese subtitle)
In this video, the following materials are covered:
1) intuitive explanation on the frequency concept
2) what is the relation between time and frequency domain
3) why it is important to learn signal processing in the frequency domain
4) how to travel from time to the frequency domain
Learn Signal Processing 101 in 31 lectures covering time, frequency and Laplace domain in about 8 hours all together:
https://www.youtube.com/watch?v=KZd68xgasIU&index=1&list=PLJ-OcUCIty7evBmHvYRv66RcuziszpSFB
Subscribe to my channel to see more courses:
https://www.youtube.com/channel/UCVkatNMgkEdpWLhH0kBqqLw
Visit sphacks homepage at:
https://www.sphackswithiman.com
Finally, let’s be friends 😉
Facebook @ https://www.facebook.com/iman.moazzen
LinkedIn @ https://www.linkedin.com/in/iman-moazzen-4...
published: 28 Sep 2016
-
Lecture-45: Time domain to Frequency domain Conversion: Need of Fourier Transform (English Ver.)
After watching this video you will be able to:
1. Convert a time domain signal in to Frequency domain signal.
2. Explain need of Fourier Transform.
3. Calculate power spectral density(PSD).
4. Take Fourier transform of a signal.
published: 07 Dec 2019
4:42
Time Domain vs. Frequency Domain, What’s the Difference? – What the RF (S01E02)
Learn the difference between the time and frequency domains
Click to subscribe: http://bit.ly/Labs_Sub
FREE Spectrum Analysis Basics application note ► http://b...
Learn the difference between the time and frequency domains
Click to subscribe: http://bit.ly/Labs_Sub
FREE Spectrum Analysis Basics application note ► http://bit.ly/SpecAnBasics ◄
Like our Facebook page for more exciting stuff:
https://www.facebook.com/keysightrf
Check out our blog:
http://bit.ly/RFTestBlog
Learn more about using oscilloscopes: http://oscilloscopelearningcenter.com
Check out the EEs Talk Tech electrical engineering podcast:
https://eestalktech.com
Like our digital counterpart’s Facebook page:
https://www.facebook.com/keysightbench/
In this episode of What the RF (WTRF) Nick goes into detail on the difference between the time domain and frequency domain and demonstrates both on an oscilloscope and signal analyzer respectively.
What exactly is the difference between the time domain and frequency domain? And what about the frequency domain tells us more about our signal?
In this video we have the same signal going to an oscilloscope and a signal analyzer, both being tools to visualize electrical signals in the time and frequency domain respectively.
Typically the higher the frequency, the more waves we see in the same span on our oscilloscope.
In the time-domain, signals appear as sinusoidal waves and in the frequency-domain they appear as distinct impulses.
But why do we care to use a signal analyzer? In a perfect world we would see the undistorted sinusoidal waveform like we would see on an oscilloscope, but we don’t live in a perfect world.
When dealing with various devices it’s often you see a not so perfect, distorted sine wave with many ripples. You can say that a real-world signal can be represented as a sum of different sinusoid signals, or rather different frequencies.
Now let’s say you’re designing a product and your product can only operate in a specified bandwidth and can’t be emitting in other bandwidths. Then you must determine at what other frequencies do the other signals exist that are corrupting the signal you want from your device
And that’s where signal analyzers come in – they help separate and display this combination of different sinusoid signals into their distinct frequency components … so that if you were expecting your device to operate at a certain frequency you can see all the other frequencies that are messing with your device.
And once that’s figured out you can use a band-pass filter to tune out those annoying extra signals you weren’t expecting – hence the benefit of seeing signals in the frequency domain!
Tune in for future What The RF (WTRF) episodes covering more spectrum analyzer capabilities and fundamental measurements to see how you can test more efficiently!
The signal analyzer we used: http://bit.ly/MXASignalAnalyzer
(The Keysight X-Series MXA Signal Analyzer)
The X-Series signal analyzers allow you to visualize across the spectrum to see known and unknown signals. Choose from frequencies of 3 Hz – 110 GHz and 1 MHz – 1 GHz analysis bandwidth.
What the RF is hosted by Nick Ben. The video series covers when and how to use analyzers to make various RF measurements. You’ll gain familiarity with features that will help you save time in your measurement, further your analysis, and deepen your insight.
#RF #SpectrumAnalyzer #SignalAnalyzer #TimeDomain #FrequencyDomain #timevsfrequencydomain #electricalengineering #rfengineering #fourier #electronics
https://wn.com/Time_Domain_Vs._Frequency_Domain,_What’S_The_Difference_–_What_The_Rf_(S01E02)
Learn the difference between the time and frequency domains
Click to subscribe: http://bit.ly/Labs_Sub
FREE Spectrum Analysis Basics application note ► http://bit.ly/SpecAnBasics ◄
Like our Facebook page for more exciting stuff:
https://www.facebook.com/keysightrf
Check out our blog:
http://bit.ly/RFTestBlog
Learn more about using oscilloscopes: http://oscilloscopelearningcenter.com
Check out the EEs Talk Tech electrical engineering podcast:
https://eestalktech.com
Like our digital counterpart’s Facebook page:
https://www.facebook.com/keysightbench/
In this episode of What the RF (WTRF) Nick goes into detail on the difference between the time domain and frequency domain and demonstrates both on an oscilloscope and signal analyzer respectively.
What exactly is the difference between the time domain and frequency domain? And what about the frequency domain tells us more about our signal?
In this video we have the same signal going to an oscilloscope and a signal analyzer, both being tools to visualize electrical signals in the time and frequency domain respectively.
Typically the higher the frequency, the more waves we see in the same span on our oscilloscope.
In the time-domain, signals appear as sinusoidal waves and in the frequency-domain they appear as distinct impulses.
But why do we care to use a signal analyzer? In a perfect world we would see the undistorted sinusoidal waveform like we would see on an oscilloscope, but we don’t live in a perfect world.
When dealing with various devices it’s often you see a not so perfect, distorted sine wave with many ripples. You can say that a real-world signal can be represented as a sum of different sinusoid signals, or rather different frequencies.
Now let’s say you’re designing a product and your product can only operate in a specified bandwidth and can’t be emitting in other bandwidths. Then you must determine at what other frequencies do the other signals exist that are corrupting the signal you want from your device
And that’s where signal analyzers come in – they help separate and display this combination of different sinusoid signals into their distinct frequency components … so that if you were expecting your device to operate at a certain frequency you can see all the other frequencies that are messing with your device.
And once that’s figured out you can use a band-pass filter to tune out those annoying extra signals you weren’t expecting – hence the benefit of seeing signals in the frequency domain!
Tune in for future What The RF (WTRF) episodes covering more spectrum analyzer capabilities and fundamental measurements to see how you can test more efficiently!
The signal analyzer we used: http://bit.ly/MXASignalAnalyzer
(The Keysight X-Series MXA Signal Analyzer)
The X-Series signal analyzers allow you to visualize across the spectrum to see known and unknown signals. Choose from frequencies of 3 Hz – 110 GHz and 1 MHz – 1 GHz analysis bandwidth.
What the RF is hosted by Nick Ben. The video series covers when and how to use analyzers to make various RF measurements. You’ll gain familiarity with features that will help you save time in your measurement, further your analysis, and deepen your insight.
#RF #SpectrumAnalyzer #SignalAnalyzer #TimeDomain #FrequencyDomain #timevsfrequencydomain #electricalengineering #rfengineering #fourier #electronics
- published: 13 Feb 2018
- views: 118621
10:19
Control Systems Lectures - Time and Frequency Domain
Get the map of control theory: https://www.redbubble.com/shop/ap/55089837
Download eBook on the fundamentals of control theory (in progress): https://engineerin...
Get the map of control theory: https://www.redbubble.com/shop/ap/55089837
Download eBook on the fundamentals of control theory (in progress): https://engineeringmedia.com
This lecture introduces the time and frequency domains. A very quick description of the Laplace Transform is given which will be the base of many of classical control lectures in the future. I will be loading a new video each week and welcome suggestions for new topics. Please leave a comment or question below and I will do my best to address it. Thanks for watching!
Don't forget to subscribe! Follow me on Twitter @BrianBDouglas!
https://wn.com/Control_Systems_Lectures_Time_And_Frequency_Domain
Get the map of control theory: https://www.redbubble.com/shop/ap/55089837
Download eBook on the fundamentals of control theory (in progress): https://engineeringmedia.com
This lecture introduces the time and frequency domains. A very quick description of the Laplace Transform is given which will be the base of many of classical control lectures in the future. I will be loading a new video each week and welcome suggestions for new topics. Please leave a comment or question below and I will do my best to address it. Thanks for watching!
Don't forget to subscribe! Follow me on Twitter @BrianBDouglas!
- published: 20 Sep 2012
- views: 581560
9:43
Time and frequency domains
This video lesson is part of a complete course on neuroscience time series analyses.
The full course includes
- over 47 hours of video instruction
- lots a...
This video lesson is part of a complete course on neuroscience time series analyses.
The full course includes
- over 47 hours of video instruction
- lots and lots of MATLAB exercises and problem sets
- access to a dedicated Q&A forum.
You can find out more here:
https://www.udemy.com/course/solved-challenges-ants/?referralCode=293E73E24A95DDF72201
For more online courses about programming, data analysis, linear algebra, and statistics, see
http://sincxpress.com/
https://wn.com/Time_And_Frequency_Domains
This video lesson is part of a complete course on neuroscience time series analyses.
The full course includes
- over 47 hours of video instruction
- lots and lots of MATLAB exercises and problem sets
- access to a dedicated Q&A forum.
You can find out more here:
https://www.udemy.com/course/solved-challenges-ants/?referralCode=293E73E24A95DDF72201
For more online courses about programming, data analysis, linear algebra, and statistics, see
http://sincxpress.com/
- published: 20 Dec 2019
- views: 97131
12:50
KVL in the frequency domain
Demonstration that Kirchhoff's voltage law applies in the frequency domain. The voltage phase offsets around a loop sum to zero.
Demonstration that Kirchhoff's voltage law applies in the frequency domain. The voltage phase offsets around a loop sum to zero.
https://wn.com/Kvl_In_The_Frequency_Domain
Demonstration that Kirchhoff's voltage law applies in the frequency domain. The voltage phase offsets around a loop sum to zero.
- published: 26 Aug 2016
- views: 32973
1:03:21
Introduction to Frequency Domain Analysis
In this video we introduce the concept of frequency domain analysis for a linear dynamic system. At its core, this involves understanding how the system respon...
In this video we introduce the concept of frequency domain analysis for a linear dynamic system. At its core, this involves understanding how the system responds to sinusoidal inputs at steady state. We derive the relationship that shows that for a linear system, when it is subjected to a sin wave input, the output at steady state is the same sin wave but the amplitude is modified and the phase is shifted.
Topics and timestamps:
0:00 – Introduction
4:05 – Partial fraction expansion
15:55 – Response of system in time domain
40:56 – Steady state response of system
51:33 – Example
1:01:35 – Summary (single core idea/equation)
All Control Theory videos in a single playlist (https://www.youtube.com/playlist?list=PLxdnSsBqCrrF9KOQRB9ByfB0EUMwnLO9o)
#Control #ControlTheory
You can support this channel via Patreon at https://www.patreon.com/christopherwlum or by clicking on the ‘Thanks’ button underneath the video. Thank you for your help!
https://wn.com/Introduction_To_Frequency_Domain_Analysis
In this video we introduce the concept of frequency domain analysis for a linear dynamic system. At its core, this involves understanding how the system responds to sinusoidal inputs at steady state. We derive the relationship that shows that for a linear system, when it is subjected to a sin wave input, the output at steady state is the same sin wave but the amplitude is modified and the phase is shifted.
Topics and timestamps:
0:00 – Introduction
4:05 – Partial fraction expansion
15:55 – Response of system in time domain
40:56 – Steady state response of system
51:33 – Example
1:01:35 – Summary (single core idea/equation)
All Control Theory videos in a single playlist (https://www.youtube.com/playlist?list=PLxdnSsBqCrrF9KOQRB9ByfB0EUMwnLO9o)
#Control #ControlTheory
You can support this channel via Patreon at https://www.patreon.com/christopherwlum or by clicking on the ‘Thanks’ button underneath the video. Thank you for your help!
- published: 10 Apr 2023
- views: 5320
13:41
Image Filtering in Frequency Domain | Image Processing II
First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science Department, School of Engineering and Ap...
First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science Department, School of Engineering and Applied Sciences, Columbia University. Computer Vision is the enterprise of building machines that “see.” This series focuses on the physical and mathematical underpinnings of vision and has been designed for students, practitioners, and enthusiasts who have no prior knowledge of computer vision.
https://wn.com/Image_Filtering_In_Frequency_Domain_|_Image_Processing_Ii
First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science Department, School of Engineering and Applied Sciences, Columbia University. Computer Vision is the enterprise of building machines that “see.” This series focuses on the physical and mathematical underpinnings of vision and has been designed for students, practitioners, and enthusiasts who have no prior knowledge of computer vision.
- published: 03 Mar 2021
- views: 86126
6:34
Circuits I: Example - Frequency Domain Equivalent Circuit
This video examines the process for converting a circuit in the time domain to the frequency domain using impedances and phasor transforms.
University of Cali...
This video examines the process for converting a circuit in the time domain to the frequency domain using impedances and phasor transforms.
University of California, Davis
ENG17: Circuits I, Spring Quarter 2015
Instructor: Dr. Kyle Montgomery
Course Website: http://www.kmontgomery.net/teaching/eng17/
https://wn.com/Circuits_I_Example_Frequency_Domain_Equivalent_Circuit
This video examines the process for converting a circuit in the time domain to the frequency domain using impedances and phasor transforms.
University of California, Davis
ENG17: Circuits I, Spring Quarter 2015
Instructor: Dr. Kyle Montgomery
Course Website: http://www.kmontgomery.net/teaching/eng17/
- published: 28 May 2015
- views: 44548
9:26
Frequency domain – tutorial 1: concept of frequency (with Chinese subtitle)
In this video, the following materials are covered:
1) intuitive explanation on the frequency concept
2) what is the relation between time and frequency domain...
In this video, the following materials are covered:
1) intuitive explanation on the frequency concept
2) what is the relation between time and frequency domain
3) why it is important to learn signal processing in the frequency domain
4) how to travel from time to the frequency domain
Learn Signal Processing 101 in 31 lectures covering time, frequency and Laplace domain in about 8 hours all together:
https://www.youtube.com/watch?v=KZd68xgasIU&index=1&list=PLJ-OcUCIty7evBmHvYRv66RcuziszpSFB
Subscribe to my channel to see more courses:
https://www.youtube.com/channel/UCVkatNMgkEdpWLhH0kBqqLw
Visit sphacks homepage at:
https://www.sphackswithiman.com
Finally, let’s be friends 😉
Facebook @ https://www.facebook.com/iman.moazzen
LinkedIn @ https://www.linkedin.com/in/iman-moazzen-42b22119/
References:
[1] Alan V. Oppenheim, Alan S. Willsky, S. Hamid Nawab, Signal & Systems, 2nd Edition, Prentice-Hall, NJ, USA, 1996.
[2] Alan V. Oppenheim, Ronald W. Schafer, Discrete-Time Signal Processing, 3rd Edition, Prentice-Hall, 2009.
[3] Michael D. Adams, Continuous-Time Signals and Systems, University of Victoria, Canada, 2013. Free textbook and lectures (courtesy of Dr. Michael Adams):
Link to the Dr. Adams' textbook: https://bit.ly/37rkwDC
Link to the Dr. Adams' lecture slides: https://bit.ly/2WrwHKy
Music - "My Favorite Regret" by Josh Woodward. Free download: http://joshwoodward.com/
Music - "California Lullabye" by Josh Woodward. Free download: http://joshwoodward.com/
https://wn.com/Frequency_Domain_–_Tutorial_1_Concept_Of_Frequency_(With_Chinese_Subtitle)
In this video, the following materials are covered:
1) intuitive explanation on the frequency concept
2) what is the relation between time and frequency domain
3) why it is important to learn signal processing in the frequency domain
4) how to travel from time to the frequency domain
Learn Signal Processing 101 in 31 lectures covering time, frequency and Laplace domain in about 8 hours all together:
https://www.youtube.com/watch?v=KZd68xgasIU&index=1&list=PLJ-OcUCIty7evBmHvYRv66RcuziszpSFB
Subscribe to my channel to see more courses:
https://www.youtube.com/channel/UCVkatNMgkEdpWLhH0kBqqLw
Visit sphacks homepage at:
https://www.sphackswithiman.com
Finally, let’s be friends 😉
Facebook @ https://www.facebook.com/iman.moazzen
LinkedIn @ https://www.linkedin.com/in/iman-moazzen-42b22119/
References:
[1] Alan V. Oppenheim, Alan S. Willsky, S. Hamid Nawab, Signal & Systems, 2nd Edition, Prentice-Hall, NJ, USA, 1996.
[2] Alan V. Oppenheim, Ronald W. Schafer, Discrete-Time Signal Processing, 3rd Edition, Prentice-Hall, 2009.
[3] Michael D. Adams, Continuous-Time Signals and Systems, University of Victoria, Canada, 2013. Free textbook and lectures (courtesy of Dr. Michael Adams):
Link to the Dr. Adams' textbook: https://bit.ly/37rkwDC
Link to the Dr. Adams' lecture slides: https://bit.ly/2WrwHKy
Music - "My Favorite Regret" by Josh Woodward. Free download: http://joshwoodward.com/
Music - "California Lullabye" by Josh Woodward. Free download: http://joshwoodward.com/
- published: 28 Sep 2016
- views: 74872
11:13
Lecture-45: Time domain to Frequency domain Conversion: Need of Fourier Transform (English Ver.)
After watching this video you will be able to:
1. Convert a time domain signal in to Frequency domain signal.
2. Explain need of Fourier Transform.
3. Calcula...
After watching this video you will be able to:
1. Convert a time domain signal in to Frequency domain signal.
2. Explain need of Fourier Transform.
3. Calculate power spectral density(PSD).
4. Take Fourier transform of a signal.
https://wn.com/Lecture_45_Time_Domain_To_Frequency_Domain_Conversion_Need_Of_Fourier_Transform_(English_Ver.)
After watching this video you will be able to:
1. Convert a time domain signal in to Frequency domain signal.
2. Explain need of Fourier Transform.
3. Calculate power spectral density(PSD).
4. Take Fourier transform of a signal.
- published: 07 Dec 2019
- views: 42161