- 132
- 118 296
Shivani Dhok
India
Приєднався 25 гру 2019
Week 8 || Compression and Signal Spaces || NPTEL || Simulation of Communication Systems Using MATLAB
The video contains a discussion related to the speech and image compression and signal spaces.
This tutorial is a part of the course Simulation of Communication Systems Using MATLAB by NPTEL in the August 2024 session.
This tutorial is a part of the course Simulation of Communication Systems Using MATLAB by NPTEL in the August 2024 session.
Переглядів: 41
Відео
Week 7 || DTMC, Sampling, Quantization || NPTEL || Simulation of Communication Systems Using MATLAB
Переглядів 52День тому
The video contains a discussion related to the Markov chains, sampling, and quantization. This tutorial is a part of the course Simulation of Communication Systems Using MATLAB by NPTEL in the August 2024 session.
Week 6 || AR, MA, ARMA, Markov process|| NPTEL || Simulation of Communication Systems Using MATLAB
Переглядів 9114 днів тому
The video contains a discussion related to the autoregressive (AR) process, moving average (MA) process, ARMA process, and Makov Chains. This tutorial is a part of the course Simulation of Communication Systems Using MATLAB by NPTEL in the August 2024 session.
Week 5 || Random Processes || NPTEL || Simulation of Communication Systems Using MATLAB
Переглядів 4721 день тому
The video contains a discussion related to the random process, wide sense stationary, strict sense stationary, and ergodic random processes. This tutorial is a part of the course Simulation of Communication Systems Using MATLAB by NPTEL in the August 2024 session.
Week 4 || Random variable generation || NPTEL || Simulation of Communication Systems Using MATLAB
Переглядів 97Місяць тому
The video contains a discussion related to the generation of random variables in MATLAB using basic commands and uniform random variables. It also discusses the central limit theorem and the weak law of large numbers. This tutorial is a part of the course Simulation of Communication Systems Using MATLAB by NPTEL in the August 2024 session.
Week 3 || Signals and Random Variables || NPTEL || Simulation of Communication Systems Using MATLAB
Переглядів 92Місяць тому
The video contains a discussion related to the signals and random variables. This tutorial is a part of the course Simulation of Communication Systems Using MATLAB by NPTEL in the August 2024 session.
Week 2 || Vectors and Matrices || NPTEL || Simulation of Communication Systems Using MATLAB
Переглядів 174Місяць тому
The video contains a discussion related to the matrices and vectors in MATLAB, inner products, outer products, Hermitian matrices, eigenvalues, eigenvectors, unitary matrices, and the Gram-Schmidt orthogonalization process. This tutorial is a part of the course Simulation of Communication Systems Using MATLAB by NPTEL in the August 2024 session.
Week 1 || Introduction to MATLAB || NPTEL || Simulation of Communication Systems Using MATLAB
Переглядів 305Місяць тому
The video contains a discussion related to the basics of MATLAB, operators, variables, for loop, while loop, if loop, functions, etc. This tutorial is a part of the course Simulation of Communication Systems Using MATLAB by NPTEL in the August 2024 session.
Summary Session || Solved Examples: Assignment Queries || NPTEL || DSP & Applications
Переглядів 665 місяців тому
The video contains the solutions to the queries of some of the assignment questions. This tutorial is part of the Digital Signal Processing and Its Applications course by NPTEL in the January 2024 session.
Week 12 || Solved Examples: Discrete Fourier Transform || NPTEL || DSP & Applications
Переглядів 935 місяців тому
The video contains the solved examples of discrete Fourier transform (DFT). This tutorial is a part of the course Digital Signal Processing and Its Applications by NPTEL in the January 2024 session.
Week 11 || Solved Examples: System Realizations || NPTEL || DSP & Applications
Переглядів 595 місяців тому
The video contains the solved examples of cascade, parallel, and lattice system realizations. This tutorial is a part of the course Digital Signal Processing and Its Applications by NPTEL in the January 2024 session.
Week 10 || Solved Examples: FIR Filter and System Realizations || NPTEL || DSP & Applications
Переглядів 955 місяців тому
The video contains the solved examples of FIR filters and system realizations, i.e., direct form 1 and direct form 2. This tutorial is a part of the course Digital Signal Processing and Its Applications by NPTEL in the January 2024 session.
Week 9 || Solved Examples: Band Stop Digital and FIR Filter Design || NPTEL || DSP & Applications
Переглядів 855 місяців тому
The video contains the solved examples of Band stop Digital Filter Design and FIR filters. This tutorial is a part of the course Digital Signal Processing and Its Applications by NPTEL in the January 2024 session.
Week 8 || Solved Examples: Digital Filter Design || NPTEL || DSP & Applications
Переглядів 1546 місяців тому
The video contains the solved examples of Digital Filter Design for Butterworth and Chebyschev filters. This tutorial is a part of the course Digital Signal Processing and Its Applications by NPTEL in the January 2024 session. Transcript
Week 7 || Solved Examples: Butterworth Filter Design || NPTEL || DSP & Applications
Переглядів 1416 місяців тому
The video contains the solved examples of the Butterworth filter design. This tutorial is a part of the course Digital Signal Processing and Its Applications by NPTEL in the January 2024 session.
Week 6 || Solved Examples: Z-Transform for Rational Systems || NPTEL || DSP & Applications
Переглядів 826 місяців тому
Week 6 || Solved Examples: Z-Transform for Rational Systems || NPTEL || DSP & Applications
Week 5 || Solved Examples: Z Transform || NPTEL || DSP & Applications
Переглядів 776 місяців тому
Week 5 || Solved Examples: Z Transform || NPTEL || DSP & Applications
Week 4 || Solved Examples: Discrete-time Fourier Transform || NPTEL || DSP & Applications
Переглядів 1247 місяців тому
Week 4 || Solved Examples: Discrete-time Fourier Transform || NPTEL || DSP & Applications
Week 3 || Solved Examples: Causality, memoryless, stable systems || NPTEL || DSP & Applications
Переглядів 1007 місяців тому
Week 3 || Solved Examples: Causality, memoryless, stable systems || NPTEL || DSP & Applications
Week 2 || Solved Examples: LTI or LSI systems || NPTEL || DSP & Applications
Переглядів 1417 місяців тому
Week 2 || Solved Examples: LTI or LSI systems || NPTEL || DSP & Applications
Week 1 || Solved Examples: Sampling and Reconstruction || NPTEL || DSP & Applications
Переглядів 6187 місяців тому
Week 1 || Solved Examples: Sampling and Reconstruction || NPTEL || DSP & Applications
Week 13 || Summary session || NPTEL || Modern Digital Communication Techniques
Переглядів 7210 місяців тому
Week 13 || Summary session || NPTEL || Modern Digital Communication Techniques
Week 12||Solved Examples: ML, LS, LMMSE, CRLB || NPTEL || Modern Digital Communication Techniques
Переглядів 9111 місяців тому
Week 12||Solved Examples: ML, LS, LMMSE, CRLB || NPTEL || Modern Digital Communication Techniques
Week 11||Solved Example:Capacity,Bandlimited channel||NPTEL||Modern Digital Communication Techniques
Переглядів 9811 місяців тому
Week 11||Solved Example:Capacity,Bandlimited channel||NPTEL||Modern Digital Communication Techniques
Week 10 ||Solved Examples: Probability of Error || NPTEL || Modern Digital Communication Techniques
Переглядів 27211 місяців тому
Week 10 ||Solved Examples: Probability of Error || NPTEL || Modern Digital Communication Techniques
Week 9 ||Solved Example: MAP, ML, Matched Filter || NPTEL || Modern Digital Communication Techniques
Переглядів 20411 місяців тому
Week 9 ||Solved Example: MAP, ML, Matched Filter || NPTEL || Modern Digital Communication Techniques
Week 8||Solved Example:OQPSK,Spectral Characteristic||NPTEL||Modern Digital Communication Techniques
Переглядів 112Рік тому
Week 8||Solved Example:OQPSK,Spectral Characteristic||NPTEL||Modern Digital Communication Techniques
Week 7 || Solved Examples: FSK, CPFSK, NRZ, NRZI || NPTEL || Modern Digital Communication Techniques
Переглядів 108Рік тому
Week 7 || Solved Examples: FSK, CPFSK, NRZ, NRZI || NPTEL || Modern Digital Communication Techniques
Week 6 || Solved Examples: Modulation Schemes || NPTEL || Modern Digital Communication Techniques
Переглядів 216Рік тому
Week 6 || Solved Examples: Modulation Schemes || NPTEL || Modern Digital Communication Techniques
Week 5||Solved Example: Correlation and Signal Space||NPTEL||Modern Digital Communication Techniques
Переглядів 208Рік тому
Week 5||Solved Example: Correlation and Signal Space||NPTEL||Modern Digital Communication Techniques
Very good explanation
thanks ma'am your lectures are really helpful!! :)
entha answers lam correcta bro
Thanks for this content
At 1:36:28, the co-ordinates of constellation point 4(-A/2,0) & 5(A/2,0).
perfect explanation! It was the only class that worked for me, thank you very much, Shivani Dhok!
TBH ur playlist should HV been reached to more students
Can i get these notes?
Thank you ma'am ✨
spr spr
so lovely so beutiful just telling like a wow
What is the minimum number of samples required to represent a perfectly sinusoidal signal without losing any information? (a) 1 (b) 2 (c) 3 (d) Frequency dependent (e) Infinite
Respected genius of dSP the portal of the course is not working. How can I send the querries. Hope Aniket is bussy. But there was some bug in Assignment 10. I send a mail to that genius. can you plz show some concern on this
Respected mentor, Kindly refer your step 7 yesterday for design of digital filters, In the formual, S_L input was Omea_p/s while Step 3, For Hp, Input to Omega_l was written as - Omega-p/Omega_L. Assume there is no typo then what is 's' that was given in the denominator of input for S_L. If typo is assumed is it same denominator that presented in Step3?
Dear mentor, In last page of tutorial material , I understood as typo .The left hand inequality has a denominator has a typo of lacking index of 1/(2N) Using the formula, I estimated ragne of cutoff frequency and got it correct. Thank you.
Please keep assignment answer
very useful ! thank you mam
Respected mentor, This is N.S.MurtiSarma, attended your week3 tutorial. In that, while explanation on convolutional properties , I told that associtivity is condtional. But later, I observed for discretime LTI it is not condtional. For continous time x,y,z must be absolutely integrable individually . As our DSP strictly on descrete systems. There is no term absolutely integrable in our discussion than absolutely summable. Hence the invalidity condtion will not disturb the discussion. Sorry for pointing that without referening source properly.
where can i find concept lecture ??????
I had many trouble of designing filters till I find your playlist thanks a lot 🙏🙏
could you show me the way to obtain x[n], x[n-1], x[n-2],....x[n-M], please? thank you so much.
Wonderful explanation. Thank you!
thanks you good explanation ☺️😊
you are good
hi ma'am, im doing the excersise about design IIR stopband filter using Butterworth, Cherbyshev 1,2. Can i ask you some questions about these things. Thanks for your useful video !
can you make video on Random variables and random processes???
thank you for lecture🙂
thank you so much mam
Ma'am, how do we get the link to join your classes?
Hi, these are sessions conducted for the NPTEL course "Modern Digital Communication Techniques". Link is shared for those students who have registered for the course.
Hi, can yo provide notes of these, your writing throughout the lectures
Such a great playlist
She is my sister. Very good my sister keep it up well done 👍🙏😊
hello, great video! however, i see prewarping in other videos are multiplied by 2/T , calculating omega c = omega p (prewarped) instead of omega s you used. Could you please clear the confusion. :) Thank you in advance.
She is my sister i am very proud of her❤❤❤
Very nice
I wish these people could communicate better in english.
really best explanation till date ! ❤
Highly helpful class
nicely explained
This course is an absolute hidden gem. I can't thank you enough for it.
Thank you 👍🏻🥰
Thank you it’s amazing
Good job mam
thank you so much. this is very useful for me...
Thank u ma'am 😊
Very Helpful Video Thank You.
intro to a new topic with practical example and implementation is 🔥🔥💯💯
This is gold , why it is not coming in recommendations.
You should study more about this . Step 7 is not clarified and you just can't substitute the value of n anyhow. There should have proper explanation. Thanks for your effort.
What if I want to create a filter using actual frequencies, I don't see the relation between those wp ws and actual frequencies in hertz
Mem your voice is gorgeous 😍 💖