Skip to main content

Electronics and Communication (EC) Study Materials


Home / Engineering & Other Exams / Communications (EC) Study Material ...

 

NET & GATE: Communications (EC) Study Material


What is an error in a communication system?

In wireless communication, we sometimes receive the wrong bit, i.e., the transmitter sends binary '1', but we're receiving binary '0' on the receiver side. That is called a bit of error. Now, we'll tell you why this error occurs. We are all aware of signal attenuation and additive noise in wireless communication. You also know that we use a threshold level at the receiver to detect '0' or '1'. Anyhow if the signal is much affected by attenuation or noise, then we receive binary '0' instead of '1' and vice versa.

We commonly use the term 'bit error rate' to measure bit error. Bit error rate tells us how many bits are affected among the total number of bits transmitted.


What are the possible remedies to reduce the bit error rate?

Channel Coding



Question

There is a digital communication system that sends a symbol or block of N bits. We expect the error probability in decoding to be 0.0001. But there is N number of bits in a symbol or block. And here, the occurrence of a mistake of any bit is independent of others. If we came to know at least one bit in the block/symbol has been decoded wrongly. Then what probability will the received symbol/block be erroneous?


Answer

Error probability of a bit = 0.0001

So, the probability of being decoded correctly= is 1-0.0001

As there are several bits, so correct probably = (1-0.0001)(1-0.0001)(1-0.0001)...Up To N Times

=(1-0.0001)^N

Erroneous Probability = 1 - correct probability

=1 -  (1-0.0001)^N

 


Maximum Likelihood Decoding or ML Decoding

The decision boundary between two adjacent signal points will be their arithmetic mean.


Question

The S symbol is randomly selected from the S1, S2, S3, and S4 and communicated through a digital communication system. S1=-3, S2=-1, S3=+1, and S4=+2 are given. Y = S + W is the received symbol on the receiver side. W stands for "zero mean unit variance." When the transmitted symbol S = Si, the conditional probability of symbol error for maximum likelihood (ML) decoding is P. P is a Gaussian Random Variable independent of S. The index i with the highest conditional symbol error probability Pi is -----


Answer

As an ML detector is used, the decision boundary between two adjacent signal points will be their arithmetic mean.

For S1= -3, the probability of error, P1,  

As the ML decoder first receives the symbol -3 and then -1, so -2 becomes the decision boundary, as shown in the figure below.



If the signal value lies between -∞ to -2, it is decoded correctly as -3. Otherwise, an error occurs. 

Now, the probability of error, P1 = (1 - yellow-colored area)


For S2, probability of error is P2 (say)


So, P2 = (1 - yellow-colored area)


For S3, probability of error is P3 (say)


P3=(1-yellow-colored area)


For S4, probability of error is P4 (say)


P4 = (1 - yellow-colored area)

In the concussion of the above four graphs, the probability of correctness is less for S3 among the four symbols. So, the possibility of error for S3 is more significant, or P3 is more considerable.


Probability & Information

When the probability of an event is less, then information about that event will be more. 

I(x) is inversely proportional to p(x)

When probability = 1, the information will be zero, and vice versa.

.We commonly use the term 'entropy' in information theory. Entropy denotes the average number of bits required per symbol to transfer information.

For example:

The probability of receiving bit '1' is 0.5 & probability of receiving bit '0' is 0.5 on the receiver side. Then the entropy H(x) is going to be    -0.5*log(0.5) -0.5*log(0.5) = 1 bit/symbol


Electronic Devices

pn junction diodes are used as electronic switches. Diodes only allow unidirectional current flow. When the voltage across the diode goes up to a certain amount (typically 0.7 V), it becomes on (in case of forward bias). On the other hand, reverse bias always remains 'off.' But in the case of the zener diode, if you continuously increase the reverse voltage, then the current flows accordingly. But after a specific reverse voltage, current flow rises sharply in reverse bias mode. This phenomenon is called 'avalanche breakdown.' If you try to increase the reverse voltage further, the voltage doesn't increase; only the current flow increases.

What is bias voltage?
The bias voltage is required for an electrical gadget to turn on and work.
An electronic device couldn't turn on and function without a bias voltage.

Networks, Signal, & Systems

 Superposition Theorem

In the superposition theorem, we calculate the individual response of each independent source on an element or branch. Then we sum up the voltage and current.


Thevenin's Theorem 

In Thevenin's theorem, we basically find the Vth and Rth. Procedure for thevenin's theorem

1. Firstly, we open the circuit, the load 

2. Then we find Vth across the load from the circuit

3. Then, we open the circuit's current source and short-circuit the voltage sources. Remember this step is only applicable to independent sources.

4. Then, we find Rth from the circuit.


RL circuit with source:

i(t) = [ i(0+) - i(∞)]*exp(-Rt/L) + i(∞)

v(t) = [ v(0+) - v(∞)]*exp(-t/RC) + v(∞)

The main functions of the inductor and capacitor in a circuit are to prevent the sudden change of current and voltage, respectively.

Question:

In the above circuit, when the switch is transformed from an off to an on state, the voltage across the capacitor will be the same, but the current direction of the capacitor will be reversed.  

A similar rule is applicable for inductors also. When the switch is transformed from an off to an on state, the voltage across the inductor will be exact, but the current direction will be reversed. 

Question:

Find the rate of rise of voltage across the  capacitor at t = 0+




Contact Us

Name

Email *

Message *

Popular Posts

Hybrid Beamforming | Page 1

Beamforming Techniques Hybrid Beamforming... Page 1 | Page 2 | Hybrid Beamforming: Hybrid beam formation was developed to address some of the limitations of digital pre-coding approaches. Every antenna element is connected to an RF chain in digital pre-coding (beam forming) method. We also know that each RF chain is in charge of providing a separate data stream between the transmitter and the receiver. We know that a larger number of independent data streams leads to higher data rates. It has a spatial multiplexing feature for MIMO. As a result, we may assume that switching from MIMO to massive MIMO will benefit us more in terms of spatial multiplexing in massive MIMO, where each antenna is coupled to a single RF chain. We'll proceed with a definition of hybrid beam forming. Overview of hybrid beam forming with example: Unlike digital beam forming, more than one antenna element is connected to a single RF chain in hybr...

MATLAB Code for 8-PSK, 16-PSK, ...

📘 Overview & Theory 🧮 MATLAB Code for BPSK, QPSK, 8-PSK, 16-PSK, 32-PSK 🧮 Simulator for m-ary PSK 📚 Further Reading   MATLAB Code for BPSK, QPSK, 8-PSK, 16-PSK, 32-PSK clc; clear all; close all; rng(10) M = 8; % M = 2, 4, 8, 16, 32, etc. N_Bits = 2520; Phase = 0; data_info_bit = randi([0,1],N_Bits,1); data_temp = bi2de(reshape(data_info_bit,N_Bits/log2(M),log2(M))); modData = pskmod(data_temp,M,Phase); figure(1); scatterplot(modData); channelAWGN = 15; rxData2 = awgn(modData, channelAWGN); figure(2); scatterplot(rxData2); demodData = pskdemod(rxData2,M,Phase);   for BPSK, Constellation Size, M = 2 for QPSK, M = 4 for 8-PSK, M = 8, and so on    Output Figure: 8-PSK Modulation Figure: 8-PSK Demodulation after adding AWGN Noise Using the above MATLAB code you'll able be to modulate and demodulate 2-PSK, 4-PSK, 8-PSK, 16-PSK, 32-PSK and so on.  16-PSK   Fig: 16-PSK In this above code ' M ' is the number of the conste...

UGC NET Electronic Science Previous Year Question Papers with Solutions

Home / Engineering & Other Exams / UGC NET 2026 PYQ ⬇️ Download Papers and Solutions 📋 Exam Pattern 💡 Preparation Tips ❓ FAQs 📊 Exam Highlights: Electronic Science (88) Feature Details Junior Research Fellowship (JRF) ₹37,000 + HRA per month Eligibility M.Sc/M.Tech in Electronics (55%) Validity of Certificate JRF (3 Years) | Lectureship (Lifetime) 📥 Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading 📂 View All Question Papers June 2025 - Question Paper Download PDF June 2025 - Solved Paper + Explanation ...

How Windowing Affects Your Periodogram

The windowed periodogram is a widely used technique for estimating the Power Spectral Density (PSD) of a signal. It enhances the classical periodogram by mitigating spectral leakage through the application of a windowing function. This technique is essential in signal processing for accurate frequency-domain analysis.   Power Spectral Density (PSD) The PSD characterizes how the power of a signal is distributed across different frequency components. For a discrete-time signal, the PSD is defined as the Fourier Transform of the signal’s autocorrelation function: S x (f) = FT{R x (Ï„)} Here, R x (Ï„)}is the autocorrelation function. FT : Fourier Transform   Classical Periodogram The periodogram is a non-parametric PSD estimation method based on the Discrete Fourier Transform (DFT): P x (f) = \(\frac{1}{N}\) X(f) 2 Here: X(f): DFT of the signal x(n) N: Signal length However, the classical periodogram suffers from spectral leakage due to abrupt truncation of the ...

Advanced M-ary Modulation Simulator: Constellation, min dist, Efficiency, SER, EVM (RMS)

Advanced M-ary Communication Lab Analytical & Statistical Performance of Digital Modulation Theoretical Probability of Error (\(P_s\)) \[ P_s = Q\left(\sqrt{\frac{2 E_b}{N_0}}\right) \] Modulation (M-ary) BPSK (M=2) QPSK (M=4) 8-PSK (M=8) 16-QAM (M=16) 64-QAM (M=64) 256-QAM (M=256) SNR (\(E_b/N_0\)): 12 dB Efficiency 2 bps/Hz Min Dist (\(d_{min}\)) 1.41 Symbol Error 1.2e-5 EVM (RMS) 0.0% Constellation Diagram Noise PDF & Decision Tail 1. Geometric Mapping ...

Frequency Shift Keying (FSK) Modulation & Demodulation (with Simulation)

Frequency Shift Keying (FSK) Theoretical Foundations: Frequency Shift Keying (FSK) is a discrete frequency modulation scheme wherein the digital information is encoded via instantaneous shifts in the carrier signal's frequency. The fundamental implementation is Binary FSK (BFSK), which maps binary data onto two distinct, discrete spectral states. A binary '1' (the "mark" state) is represented by a carrier frequency \( f_1 \), while a binary '0' (the "space" state) corresponds to frequency \( f_2 \). Each symbol is sustained for a bit interval denoted by \( T_b \). FSK Transmitter Characterization: The mathematical model for the modulated BFSK output \( s(t) \) is defined as: \[ s(t) = \begin{cases} A_c \cos(2\pi f_1 t), & \text{for } m = 1 \\ A_c \cos(2\pi f_2 t), & \text{for } m = 0 \end{cases} \] ...

Galois Fields: GF(2) and GF(2m) and Primitive Polynomial

Galois Fields: GF(2) and GF(2 m ) 1. What is a Galois Field (GF)? A Galois Field (GF) is a finite set of elements in which the four basic arithmetic operations—addition, subtraction, multiplication, and division (except by zero)— are all well defined and closed. GF(q) ⇒ a field with exactly q elements 2. The Simplest Field: GF(2) GF(2) is the smallest possible finite field and forms the foundation of all digital systems. GF(2) = {0, 1} Addition in GF(2) Addition is performed modulo 2 (XOR operation): + 0 1 0 0 1 1 1 0 Multiplication in GF(2) × 0 1 0 0 0 1 0 1 GF(2) is used in binary logic, XOR operations, and simple error-control codes. 3. Meaning of GF(2 m ) GF(2 m ) is a finite field containing exactly 2 m elements . Each element represents an m-bit symbol . Field Number of Elements GF(2) 2 GF(2²) 4 GF(2³) 8 GF(2⁸) 256 Important: GF(2 m ) is not integer arithmetic modulo 2 m . It is polynomial-based arithmetic. 4....