Advance Communication lab (MATLAB Simulation) detailed syllabus for Electronics Instrumentation & Control (EIC) for 2020-21 regulation curriculum has been taken from the Rajasthan Technical University official website and presented for the electronics instrumentation & control students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Electronics Instrumentation & Control 7th Sem scheme and its subjects, do visit EIC 7th Sem 2020-21 regulation scheme. The detailed syllabus of advance communication lab (matlab simulation) is as follows.
Part-A Analog-To-Digital Conversion
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Part-B Attempt Any Four Experiment
- Find all the code words of the (15,11) Hamming code and verify that its minimum distance is equal to 3.
- Generate an equiprobable random binary information sequence of length 15. Determine the output of the convolutional encoder shown below for this sequence.
- Generate the L=31 Gold sequences. Consider a time-synchronous CDMA system (direct sequence spread spectrum) having four users, each employing a distinct Gold sequence of length L=31 and the binary (‘1) modulation of their representative Gold sequences. The receiver for each user correlates the composite CDMA received signal, which is corrupted by AWGN (added on a chip-by-chip basis) with each user’s respective sequence. Using 10000 information bits, estimate and plot the probability of error for each user as a function of SNR.
- Consider a MIMO (multiple-input, multiple-output) system with NT = 2 transmit antennas and NR = 2 receive antennas. Generate the elements of the channel matrix Hfor a Rayleigh fading (frequency nonselective) AWGN channel and the corresponding inputs to the detectors for the two receive antennas.
- Perform feature extraction from a given Image and use Principal Components as image descriptors.
- By using an image dataset, train a Neural Network to recognise a given Image. Apply this in context to face/object recognition and calculate recognition accuracy of the training set.
- Develop a Fuzzy Inference System (FIS) by using a set of fuzzy rule base between some key image parameters and calculate output after defuzzification.
- Design a Fuzzy PID controller using Matlab for a Dc Motor.
- Classify ECG signals using Neural networks.
For detailed syllabus of all other subjects of Electronics Instrumentation & Control, 2020-21 regulation curriculum do visit EIC 7th Sem subject syllabuses for 2020-21 regulation.
For all Electronics Instrumentation & Control results, visit Rajasthan Technical University electronics instrumentation & control all semester results direct link.