Your content on communication technology is truly enlightening and engaging! I appreciate how you break down complex concepts into easily understandable information. Keep up the fantastic work in sharing knowledge and fostering discussions in this ever-evolving field. Your dedication to educating and inspiring others is truly commendable
Thank you for this informative tutorial on OTFS Modulation! The explanations, along with the Python & MATLAB code demonstrations, made it easy to understand this complex topic. Your video was clear and engaging, making it a valuable resource for learning. Looking forward to more content like this
In tracing the evolution of OTFS technology from its inception to its current status as a transformative force in wireless communication, what pivotal moments have contributed to its emergence as a game-changing paradigm, and how does it distinguish itself from traditional methods?
In traditional methods such as OFDM, the approach involves utilizing both time and frequency domains for communication. However, for applications requiring a fusion of communication and sensing capabilities, a different waveform is necessary, and OTFS (Orthogonal Time Frequency Space) emerges as a solution by leveraging the delay-Doppler domain. The delay-Doppler domain offers support for both sensing and communication tasks, presenting numerous benefits such as simplified mitigation of fading and interference issues.
Thank you for this nice summary on OTFS. I am, however, wondering if you could go more into detail of your equalization method. Which equalization method did you use? Thank you.
The equation for the ISST transform should be an expression for X[k,l] on the left and the summation of X[n.m] on the right. The equation is wrong because it is depicting SFFT transform.
Your content on communication technology is truly
enlightening and engaging! I appreciate how you break down complex
concepts into easily understandable information. Keep up the fantastic work in sharing knowledge and fostering discussions in this ever-evolving field. Your dedication to educating and inspiring others is truly commendable
Wow, thank you!🙏
Surely we do!
Thank you. Waiting more tutorials for beginners,
on Python and MATLAB coding for communication engineering.
As soon as possible!
Thank you for this informative tutorial on OTFS
Modulation! The explanations, along with the Python & MATLAB code
demonstrations, made it easy to understand this complex topic. Your
video was clear and engaging, making it a valuable resource for
learning. Looking forward to more content like this
Glad you enjoyed it!
Thanks for free sharing the Python codes of OTFS modulation. That was very helpful in my course project. Good Luck❤
Thank you❤️
My suggestion is to present one clip showing the difference between OTFS and other orthogonal signaling
Surely we do!
The video was excellent and thanks to Prof. Jamshid Abuei for his excellent guidance
Thanks
Good job ❤thanks for introducing this emerging technology🙏
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It is really great. Everything is good. Catchy and easy to understand.
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Great explanation style, thanks for your work!
My pleasure!
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Useful tutorial, thank you🙏
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fantastic video ] have ever seen about OTFS tech
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In tracing the evolution of OTFS technology from its inception to its current status as a transformative force in wireless communication, what pivotal moments have contributed to its emergence as a game-changing paradigm, and how does it distinguish itself from traditional methods?
In traditional methods such as OFDM, the approach involves utilizing both time and frequency domains for communication. However, for applications requiring a fusion of communication and sensing capabilities, a different waveform is necessary, and OTFS (Orthogonal Time Frequency Space) emerges as a solution by leveraging the delay-Doppler domain. The delay-Doppler domain offers support for both sensing and communication tasks, presenting numerous benefits such as simplified mitigation of fading and interference issues.
The best OTFS tutorial i've ever seen!
Thanks a lot to your team🙏
Our pleasure!
Very helpful.
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Looking forward for more videos. Good Job
Thank you! Will do!
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No problem 😊
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Thank you! Will do!
Thank you for this nice summary on OTFS. I am, however, wondering if you could go more into detail of your equalization method. Which equalization method did you use? Thank you.
Outstanding video that I have ever seen!
Glad you liked it!
Excellent!
Thank you!
Great as always. Such an interesting topic.
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My pleasure
very helpful and intereseting
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Helps to relate this new tech to ofdm
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The equation for the ISST transform should be an expression for X[k,l] on the left and the summation of X[n.m] on the right. The equation is wrong because it is depicting SFFT transform.
Nice ❤
Thanks
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@@Daaneshacademyن😅 9:23 هزار
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