Hi, in ''What is a Decision Feedback Equalizer (DFE)?'' at ''7:25'' you gave a definition of DEF which differs from this video at ''5:55''. The difference is one coefficient 1/h0 . I already asked another question below the other video. Thanks
@iain_explains26 күн бұрын
All of the channel "taps" (h-values) need to be measured, and their values of course affect the detector performance. Another factor that affects the detector performance is the noise power spectral density. When we write down a mathematical model, we sometimes scale the h values so that h_0 = 1 and also scale the noise power accordingly (keeping the SNR constant).
@hamzaabdualqawi32612 жыл бұрын
What a fantastic explanation. Dear Doctor. We need a video about channel estimation using deep learning
@iain_explains2 жыл бұрын
Thanks for the suggestion. I'll add it to my "to do" list.
@songxiaohe67312 жыл бұрын
Clear message, clear structure, easy to understand, thank you
@iain_explains2 жыл бұрын
You're very welcome
@halmirofigliolo16372 жыл бұрын
Hi Professor, you explain SO WELL
@iain_explains2 жыл бұрын
Glad you think so!
@ellietomar3 жыл бұрын
Thanks Mr Iain. Is this explanation in time domain or frequency domain. please help to confirm.
@yanivsab7 Жыл бұрын
Very clear and detailed explanation. I love your videos. Can you please add the equalization gain of the mmse vs the dfe from a pure mathematic form? Meaning how much db do we gain with mmse vs dfe.
@iain_explains Жыл бұрын
Thanks, I'm glad you like the videos. There's not a simple answer to your question, since the performance of the DFT is hard to quantify mathematically, due to the difficulty in modelling the error sequences that result from an incorrect single error being fed back. It depends on the amount of ISI in the channel and the SNR.
@你是哪哪 Жыл бұрын
Can you make a video explaining the differences between a symbol spaced equalizer and a Fractionally Spaced Equaliser? Thank you.aced equalizer
@iain_explains Жыл бұрын
Thanks for the suggestion. I've put it on my "to do" list.
@usmanhabib2353 жыл бұрын
thank you so much. Much needed content. Please make some video on detection of time offset and carrier freq offset for non-OFDM general modulation cases, like Gardner's method. I always find them difficult to understand from the books
@iain_explains3 жыл бұрын
Thanks for the suggestion, I've added it to my "to do" list.
@milindgoel40510 ай бұрын
1:35: h are channel values. training symbols help estimate channel values
@khaledramdan61882 жыл бұрын
hello professor lain, I want to ask that what are the effects a channel cause to a signal in terms of amplitude and phase and frequency to a channel? and how does an Equalizer able to correct these effects of channel means basically what functions are performed by Equalizer
@iain_explains2 жыл бұрын
Channel amp and phase are affected by things such as multipath, which can also cause ISI, which is what the equaliser is needed to combat. Perhaps watch "What is Intersymbol Interference ISI?" kzbin.info/www/bejne/f2GbaHmLq7xlr9U and "What is Rayleigh Fading?" kzbin.info/www/bejne/Y3eyn4x4j5yNnLM
@mattjaskulski88552 жыл бұрын
hey Lain is it possible to equalize a non linear system (non linearities in phase and amplitude)
@iain_explains2 жыл бұрын
Sure, as long as the channel gain response is a one-to-one function. You need a filter which has an impulse response that is the inverse of the channel's impulse response (or approximates it). This is often not easy to find though, as the problem can be non-convex.
@badalsoren29472 жыл бұрын
sir in case 4 u have taken OFDM so the sole purpose of ofdm technology is to eliminate ISI or convert a frequency selective channel to frequency flat channel, than what is the purpose of doing equalization as equilization is used to remove the effect of ISI by opening the eye in eye diagram which has been already done by dividing the channel in to frequency flat sub bands by OFDM systems??
@iain_explains2 жыл бұрын
I'm not really sure what you're asking sorry. In the case of OFDM there is no "eye diagram", since all the sub channels are transmitted at the same time. But yes, each sub channel is flat fading (once the FFT in the receiver is applied). The sub channels still need to have their amplitudes adjusted/scaled so that the overall gain is unity, so that the detector can map the received signal onto the constellation points. This overall FFT-with-subcarrier-scaling can be viewed as the "equaliser".
@jichen48303 жыл бұрын
Hi Professor, Enjoy your style of explaining communication concepts :). Wonder if you plan to give a talk on partial response? Look forward to your lecture on the topic.
@iain_explains3 жыл бұрын
Thanks for the suggestion. Can you be a bit more specific though, about what you're unsure about? The term "partial response" can mean a few things.
@km-sc4kz2 жыл бұрын
@@iain_explains i think they meant partial response signalling. which is something like duobinary signalling according to what i've learnt. I haven't learnt this fully, so i'm not exactly sure what it means. From what i've found online i think it means a scheme which allows for ISI between two adjacent terms for some symbol in the sequence. Thanks for the lecture, it's very helpful :)
@maitj30183 жыл бұрын
HI, Prof. Thanks for such nice lecture. Could you please explain 1) why do we put tail symbols and 2) why do we take it same as the training symbols: (do we put it in order to protect the next training symbols) or it also has some other purposes.
@iain_explains3 жыл бұрын
ISI in the channel spreads out each input symbol over multiple symbol time slots. So, if the detector cutoff its measurements exactly at the time of the last data symbol in a packet, then it would lose the energy from the last few data symbols that arrives after that time. That would make it harder to make decisions on those symbols (compared with the other earlier symbols). So the received vector typically includes a few symbols extra (and correspondingly, dummy "tail symbols" are added to the end of the packet before transmission, so it doesn't matter that they spread out). If you use the same "dummy" symbols for the last few symbols of the header, then the sampled channel matrix will be circular, which has advantages for implementation, but it's not necessary.
@maitj30183 жыл бұрын
@@iain_explains Thanks. Got ur point. I have one more question. How should we choose the length of the data symbols and training+header for good equalization? Does this process of choosing the lengths of header+data+tail depends on the choice of equalization.
@iain_explains3 жыл бұрын
The choice of the lengths of the header, data, and tail depend on many factors. They are defined in the relevant standards, so if you are transmitting according to a standard, then you need to use the lengths defined in that standard.
@sivasaikrishnamarthy178 Жыл бұрын
@@iain_explains Dear Professor, As you mentioned in above comment Why would a detector even cutoff its measurements exactly at the time of the last data symbol in a packet?
@tuongnguyen93913 жыл бұрын
great comparison and easy to understand !
@iain_explains3 жыл бұрын
Glad you liked it!
@jaywang8862 Жыл бұрын
fantastic of fantastic
@iain_explains Жыл бұрын
That's great to hear.
@rampandey98823 жыл бұрын
Hello professor Can you make a video on linearization of linear amplifiers
@iain_explains3 жыл бұрын
I guess you mean linearization of _non_ linear amplifiers, right? Thanks for the suggestion, I've added it to my "to do" list.
@การะเกดศรีอยุธยา2 жыл бұрын
how did you do it can you share with me , thank you
@iain_explains2 жыл бұрын
Sorry, I'm not sure what you are asking.
@dieptruong51782 жыл бұрын
Some segments in the video are stamped not adjacent to each other
@iain_explains2 жыл бұрын
Sorry, I don't know what your comment means.
@farahtermos51632 жыл бұрын
Character In the video It's great, I like it a lot $$