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Course Content
MODULE 1
0/8
1. Define probability and relation of sample space ,event.
01:28
2. Define auto and cross correlation with their properties.
04:22
3. Explain Bayesian rule and define conditional property
04:05
4. Define Ensemble average and mean average and moment Define correlation, covariance and correlation coefficient
02:35
5. Gaussian Random Variable and program to demonstrate Gaussian filters.
00:42
6. Outline random processes and illustrate an ensemble of sample functions with a neat diagram.
01:11
7. Show that, if a Gaussian process X(t) is applied to a stable linear filter, then the random process Y(t) developed at the output of the filter is also Gaussian.
04:13
8. Explain central limit theorem as applied to Gaussian Random Process
03:05
MODULE 2
0/9
1. Explain amplitude modulation in time domain and frequency domain with necessary expressions . Interpret the concepts of modulation index and percentage of modulation. Write the necessary equations.
05:33
2. With necessary schematic of square -law circuit and expressions, explain the generation of AM. Or Explain with neat diagrams, amplitude demodulator using the diode detector
04:04
3. Write a MATLAB code to generate Amplitude Modulation and demodulation waveforms and display its spectrums.
02:04
4. Explain with diagrams, the working principle of Lattice-type balanced modulator.
03:24
5. Explain high-level collector modulator with a neat block diagram
03:08
6. Outline a diode detector AMD modulator with necessary block diagram and waveforms.
01:35
7. a)An AM transmitter has a carrier power of 30W. The percentage of modulation is 85 percent. Calculate (i) the total power and (ii) the power in one sideband.
03:40
8. Explain a general block diagram of an FDM system
02:52
9. Explain any one SSB modulation Technique
05:33
MODULE 3
0/8
1.Problem
03:01
2. FM generation
08:04
3.varacter diode
01:36
4.Noise immune
01:18
5. Super herodyne receiver and mixer
06:49
6.Foster seeley Discriminator
02:10
7.Voltage control oscillator using IC
04:07
8.Phase Lock Loop
03:46
MODULE 4
0/7
1. What are the advantages of digital signals over analog signals?
01:21
2. State sampling theorem. Explain sampling with neat sketches and equations. What are the challenges faced with Nyquist criteria for sampling?
03:17
3. Develop a program to display the signals and its spectrum.
01:53
4. Explain the generation and detection of PPM waves with a relevant block diagram.
04:13
5. What is aperture effect in PAM systems? How can it be minimized?
04:06
6. What is multiplexing and why is it required in communication? Explain the working
05:56
7. Explain the basic elements of a PCM system with neat diagrams.
03:36
MODULE 5
0/5
1. Define Intersymbol Interference (ISI). Outline Baseband binary data transmission system with neat block diagram and equations.
05:04
2. Explain the following concepts briefly: (i) Nyquist criterion for distortionless transmission. (ii) Baseband M-ary PAM transmission
03:25
3. Develop a code to generate NRZ and RZ pulse.
03:59
4. Define Signal-to-Noise Ratio (SNR). Explain the different types of external and internal noise.
01:42
5. Illustrate the concept of noise in cascaded stages with a diagram. Write Friis’ formula and mention its terms
01:50
PRINCIPLES OF COMMUNICATION SYSTEMS || ECE stream || Very Important Questions Explained with Concepts || All 5 modules || BEC402 || Last moment exam preparation
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