Skip to main content
Home Wireless Communication Modulation MATLAB Beamforming Project Ideas MIMO Computer Networks Lab 🚀

ESE & GATE : Digital Circuits & Electromagnetics (EC) Study Material


GATE-ESE-NET
NET & GATE : Digital Circuits & Electromagnetics (EC) Study Material

◈ Digital Circuits


◈ Electromagnetics




1.Digital Circuits:

What is a MUX?

MUX is abbreviation of 'Multiplexer'. Where numbers of data streams are multiplexed to be transmitted thru same channel as parallel data streams. In case of modulation techniques, for example in QPSK modulation scheme we see two signals are transmitted thru same channel and even at same time also are signals are with different phase. If we do not apply modulation for this particular situation then we need to send two signals separately one by one. For your knowledge, modulation enables multiplexing of data in a communication media.


What is K-map?

K-map is used to minimize the logic operations in a combining circuit. It is helps to improve power efficiency by reducing propagation time thru different gates by minimizing number of operation a well. Which directly impacts circuit's cost.


Question



In the above diagram, s1 and s0 are the select lines. I0 and I3 are input data line. 'EN' is the enable line. And output is F which is a function of P, Q, and R or F(P, Q, R) = ?


Answer

Here, in the above K-map,

F = PˉQˉR + PQˉR + PQ

Or, PˉQˉR + PQˉR + PQRˉ + PQR

Or, Σm (1, 5, 6, 7)


Explanation:

In the above question it was given that output is the function of P, Q, and R and I0 and I3 are input lines. So, in the K-map we've not counted as '1' the inputs like, I0, I3, and R=I0 and I2. In general I0 is PˉQˉR, I3 is PQˉRˉ, and I2 is PQˉR.


1's Complement and 2's Complement

1's Complement of 1100 is 0011

Alternatively,

1's Complement of 1100 is equals to (1111 - 1100) = 0011

1100 => 0011


2's Complement of 1100 is 0100

Alternatively, 2's Complement of 1100 is equal to (1's Complement + binary '1')

Or, 0011 + 1 = 0100


Signed magnitude of a binary number:

In case of signed binary number if 1 comes in prefix then the equivalent decimal number comes with negative sign; Otherwise it is treated as positive decimal.

Example, 1100 => -4

0100 => +4


Question

P, Q, and R are decimal integers. P is the signed magnitude of 4 bit binary number 1100. Q and R are the 1's Complement and 2's Complement of the same binary number. Now tell us 6 bit 2's Complement representation of (P+Q+R) is -------

Answer

Given, P = signed magnitude of 1100 = -4

Q = 1's Complement of 1100 = 0011 = 3

R = 2's Complement of 1100 = 0100 = 4

Now, (P+Q+R) = 3

6 bit representation of decimal 3 is 000011

2's Complement of 000011 is equals to (1's Complement of 000011 + binary '1') = 111100 + 1=111101


A/D or D/A Converter:

It is a converter which converts digital data to analog data. For example to digitalize a analog signal i.e., voice signal (as it is analog in nature) we digitalize it by quantize where analog signal is represented by different quantize levels. Before that it must go through sampling process. This is a example of analog to digital converter.


Question

There is a 10 bit digital to analog converter. It can be calibrated over a range of 0 volt to 10 volts. Now, question is if input of that digital to analog converter is 13A (It is a hexadecimal number). That what will be the output of the converter?

Answer

Firstly, convert the hexadecimal input into decimal value as convert ranges from 0 to 10 volts which are decimal numbers. So, when a system works with decimal value then for convenience we convert the hexadecimal input into decimal.

(13A) = 1X(16)^2 + 3X(16)^1 + 10X(16)^0 = 314 (As we know A in hexadecimal is equivalent to decimal 10)

As, given in question that it is 10 bit converter. So, number of levels in converter is equal to 2^10 = 1024

Now, resolution of that converter is (10 Volts / 1024) = 9.76 millivolt

If the input is 13A (equivalent decimal = 314) then output will be

Resolution X equivalent decimal input

= 3.067 volts


Number System (Definition, Types, Conversion & Examples):

The same decimal number is represented by its binary, octal, hexadecimal equivalent. In the following sections, we'll go over the specifics.

Because it employs ten digits from 0 to 9, the decimal number system has a base of ten as there are total ten digits in decimal number's set. In the same way, the binary number system has two digits - 0 and 1 (so, base - 2). The octal number system has eight digits ranging from 0 to 7, whereas the hexadecimal number system has sixteen digits ranging from 0 to 15. Without further ado, let's look at how to convert from one number system to another.

Figure: Different types of number systems are converted into one another


Decimal to Binary conversion:

Let's say we take a decimal number, such as '123'.

We need to convert it to a binary equivalent.

We can convert '123' to another form as follows:

1*(10^2) + 2*(10^1) + 3*(10^0) = 123

The weights that apply here are ....., 100, 10, 1 (as per the position of a digit in a decimal number)

For binary number system applicable weights are

...., 2^5, 2^4, 2^3, 2^2, 2^1, 2^0

or, ...., 32, 16, 8, 4, 2, 1

Let me give an example, if a binary number is 1001, then equivalent decimal number is

1*(2^3) + 0*(2^2) + 0*(2^1) + 1*(2^0) = 8+0+0+1=9



Returning to the decimal to binary conversion of the decimal number '123,' we may use the binary weightage rule and use the procedure below.

1. The decimal number '123' is given.

As we all know, a binary number's weightage value is like this.

....., 256, 128, 64, 32, 16, 8, 4, 2, 1, 256, 128, 64, 32, 16, 8, 4, 2, 1

2. The number 128 is now greater than the decimal number 123.

3. So, start with 64 or 2^6, then add 32, making sure it doesn't exceed '123'. So, if you add the next (16), you get '112'. As a result, add next (8). The total addition is now '120'. When we add the next (4), the value of '123' is crossed. As a result, we reject it and add the following (2), followed by 1. The total addition is now '123'.

The binary equivalent of the decimal '123' is '1111011'.



Alternative Method:


In the alternate manner, you can see how we organize all of the reminders in a specific order. The MSB (most significant bits) is on the upper side of the arrow, while the LSB (least significant bits) is on the lower side.



Solve: The binary number 0.246 in binary is (up to 3 decimals) is ?

Solution:

0.246 * 2 = 0.492 =>0 (MSB)

0.492 * 2 = 0.984 =>0

0.984 * 2 = 1.968 =>1

0.968 * 2 = 1.936 =>1

....

So, answer is .001


Binary to Decimal:

Example: (111001)2 = (?)10

Solution:

(111001)2 = 1*(2^5) + 1*(2^4) + 1*(2^3) + 0*(2^2) + 0*(2^1) + 1*(2^0)

=32+16+8+0+0+1 = 57 (Ans.)



What if binary number continues after decimal point?

Example: (111001.11)2 = (?)10

(.11)2 = 1*(2^-1) + 1*(2^-2)

= 0.5 + 0.25

=.75

and, (111001)2 = 57 (as shown above)

So, (111001.11)2 = (57.75)10



Solve: The binary number 110011.11 is equivalent to which decimal number

A. 51.25

B. 49.75

C. 60

D. 50.75

Solution:

110011 (in binary) = 51 (in decimal)

Now, .11 (in binary) = 1*(2^-1)+1*(2^-2)= .75

So, 110011.11 (in binary) = 51.75 (in decimal)

Correct answer in option D.



Binary to octal:

Octal number set {0,1,2,3,4,5,6,7}

Example: (111001)2 = (?)8

Take three bits at a time and convert them to decimal equivalents. If there is no decimal point, always choose numbers from the left side.

(111001)2 = (71)8



Octal to Binary:

Similarly, if we want to convert an octal number to a binary number, we must convert each octal digit to its binary 3 bit equivalent.

For example

(72)8 = 111 010



Binary to hexadecimal:

Hexadecimal number set {0,1,2,3,4,5,6,7, 8, 9, A, B, C, D, E, F}

Example: (10011001)2 = (?)16

Take four bits at a time and convert them to decimal equivalents. If there is no decimal point, always choose numbers from the left side.

(10011001)2 = (99)16



Hexadecimal to Binary:

Similarly, if we want to convert a hexadecimal number to a binary number, we must convert each octal digit to its binary 4 bit equivalent.

For example

(99)16 = 1001 1001



Decimal to octal:

In this scenario, convert the decimal number to binary first, then convert binary to octal using the similar steps outlined above.

For example: (22)10 = (?)8

. (22)10 = (10110)2

Now, (10110)2 = (26)8



Octal to Decimal:

To convert an octal number to a binary number, first convert the octal number to binary, then convert the binary number to decimal.



Alternative Method:

Octal to decimal number:

(26)8 = (?)10

(26)8 = 2*(8^1) + 6*(8^0) =22



Decimal to hexadecimal:

In this scenario, convert the decimal number to binary first, then convert binary to hexadecimal using the similar steps outlined above.



Hexadecimal to Decimal:

Similarly, to convert a hexadecimal number to a binary number, convert the hexadecimal number to a binary number first, then the binary number to a decimal number.



Alternative Method:

hexadecimal to decimal number:

(26)16 = (?)10

(26)16 = 2*(16^1) + 6*(16^0) =32+6=38



Why are 1's and 2's complements Important in number system?

Consider the situation when we need to store a binary number in an 8-bit register.

Now we'll look at how to represent the decimal numbers +10 and -10 in binary form in an 8-bit register.

+10 will be stored in the register as 0 0 0 0 1 0 1 0; here, MSB bit '0' is used as the sign bit, where '0' represents a positive binary number and '1' represents a negative binary number.

If we need to store a negative number in the register, we will do so as follows:

1 1 1 1 0 1 0 1;

where we take the binary equivalent of +10's 1st complement. To get 1's complement, we just reverse the bits. To represent '-10,' we utilize bit '1' at the MSB bit location.

Simply add '1' to the LSB bit of 1's complement to get 2's complement of a binary number.

The 1's complement of the binary number 1100, for example, is 0011. (0011) + 1 = 0100 is now the 2's complement of the same binary value.

We can see from the preceding sections that we don't need to do anything with positive numbers, but when the number is negative, we use '1' as the MSB and then 1's complement of the equivalent binary integer.
Digital Filters IIR vs FIR (Click here)



Electromagnetics:

What is a transmission line's characteristic impedance?

In the case of a transmission line, the EM current and EM volts are constant over the length of the line. Coaxial cable is a common example of a transmission line. We'll assume EM current and EM volt are I and E, respectively, for the sake of simplicity, so characteristic impedance,

Z0=E/I



Question

A transmission line with a characteristic impedance of 50 ohm and a length of 3λ/4 is terminated with a load of 400 ohm. At the input, the impedance is ——-? ———

Answer

Given,

Characteristic impedance, Z0 =50 ohm

Load impedance, ZL = 400 ohm

So, input impedance, Z­in = (Z0)2/ZL

Or, Z­in = 502/400=6.25 ohm



Question

The electric field E0 in the far field proportions to (e-jkr /r)sin(θ) for an infinitesimally small dipole in free space, where k=2*π/λ. A vertically infinitesimally small dipole (δl << λ) is positioned above an infinite ideal conducting plane at a distance h (h>0). At theta = 60 degrees, what is the minimal value of h for which one of the far field radiation pattern maxima occurs? (Options: 0.75λ, λ, 0.25λ, and 0.5λ)

Answer

The correct response is λ.

An antenna, in general, radiates vertically from its axis for electromagnetic wave propagation. As the distance between the transmitting antenna and the receiving antenna increases, the power of the radiation weakens. The radiation region is divided into two portions as follows:

1. Near field

2. Far field

The amplitude of an EM wave in the far field is proportional to 1/r. It is 1/r3 for the near field reactive zone and 1/r2 for the near field radioactive region.

The far field region distance from the antenna ranges from 2λ to infinity. Where the wavelength of the operating frequency is equal to λ. Similarly, the area between the antenna and the length λ is referred to as the near field zone. And the area between λ and 2λ is known as the transition region.

For example, the length of a dipole antenna should be λ/2.



Question

H(x,y,z,t) = (ax + 2ay + baz) * cos(wt +3x –y –z) is the magnetic field of a uniform plane wave in vacuum.

Determine the value of b.

Answer

We know, in general, for electromagnetic wave propagation electric and magnetic fields are perpendicular in nature. The direction of an EM wave, on the other hand, is perpendicular to both the electric and magnetic field vectors.

The magnetic field vector in the given question is made up of two parts:

H = H0 * cosine part

Where H0 = (ax + 2ay + baz)

And direction vector, k=3ax –ay -az

In vector equations, if two vectors are perpendicular then dot product of them equals to 0.

So, H0.k=0

Or, (ax + 2ay + baz) . (3ax –ay -az­) = 0

Or, 3-2-b =0

Or, b=1
Next Page>>

People are good at skipping over material they already know!

View Related Topics to







Admin & Author: Salim

profile

  Website: www.salimwireless.com
  Interests: Signal Processing, Telecommunication, 5G Technology, Present & Future Wireless Technologies, Digital Signal Processing, Computer Networks, Millimeter Wave Band Channel, Web Development
  Seeking an opportunity in the Teaching or Electronics & Telecommunication domains.
  Possess M.Tech in Electronic Communication Systems.


Contact Us

Name

Email *

Message *

Popular Posts

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...

Modulation Constellation Diagrams BER vs. SNR BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ... 1. What is Bit Error Rate (BER)? The abbreviation BER stands for bit error rate, which indicates how many corrupted bits are received (after the demodulation process) compared to the total number of bits sent in a communication process. It is defined as,  In mathematics, BER = (number of bits received in error / total number of transmitted bits)  On the other hand, SNR refers to the signal-to-noise power ratio. For ease of calculation, we commonly convert it to dB or decibels.   2. What is Signal the signal-to-noise ratio (SNR)? SNR = signal power/noise power (SNR is a ratio of signal power to noise power) SNR (in dB) = 10*log(signal power / noise power) [base 10] For instance, the SNR for a given communication system is 3dB. So, SNR (in ratio) = 10^{SNR (in dB) / 10} = 2 Therefore, in this instance,...

Comparisons among ASK, PSK, and FSK | And the definitions of each

Modulation ASK, FSK & PSK Constellation MATLAB Simulink MATLAB Code Comparisons among ASK, PSK, and FSK    Comparisons among ASK, PSK, and FSK Comparison among ASK,  FSK, and PSK Performance Comparison: 1. Noise Sensitivity:    - ASK is the most sensitive to noise due to its reliance on amplitude variations.    - PSK is less sensitive to noise compared to ASK.    - FSK is relatively more robust against noise, making it suitable for noisy environments. 2. Bandwidth Efficiency:    - PSK is the most bandwidth-efficient, requiring less bandwidth than FSK for the same data rate.    - FSK requires wider bandwidth compared to PSK.    - ASK's bandwidth efficiency lies between FSK and PSK. Bandwidth Calculator for ASK, FSK, and PSK The baud rate represents the number of symbols transmitted per second Select Modulation Type: ASK...

MATLAB Code for ASK, FSK, and PSK

ASK, FSK & PSK HomePage MATLAB Code MATLAB Code for Amplitude Shift Keying (ASK) % The code is written by SalimWireless.Com % Clear previous data and plots clc; clear all; close all; % Parameters Tb = 1; % Bit duration fc = 10; % Carrier frequency N = 10; % Number of bits % Generate carrier signal t = 0:Tb/100:1; carrier_signal = sqrt(2/Tb) * sin(2*pi*fc*t); % Generate message signal rng(10); % Set random seed for reproducibility binary_data = rand(1, N); % Generate random binary data t_start = 0; t_end = Tb; for i = 1:N t = [t_start:0.01:t_end]; % Generate message signal if binary_data(i) > 0.5 binary_data(i) = 1; message_signal = ones(1, length(t)); else binary_data(i) = 0; message_signal = zeros(1, length(t)); end % Store message signal message(i,:) = message_signal; % Modulate message with carrier ...

Raised Cosine Filter in MATLAB

  MATLAB Code clc; clear all; close all; Data_sym = [0 1 1 0 1 0 0 1]; M = 4; Phase = 0; Sampling_rate = 48e3; Data_Rate = 100; Bandwidth = 400; Upsampling_factor = Sampling_rate/Data_Rate; Rolloff = 0.4; Upsampled_Data = upsample(pskmod(Data_sym,M,Phase),Upsampling_factor); Pulse_shape = firrcos(2*Upsampling_factor,Bandwidth/2,Rolloff,Sampling_rate,'rolloff','sqrt'); Output What if we change the roll-off roll-off = 0.01 roll-off = 0.99 What if we change the bandwidth Bandwidth = 100 Hz     Bandwidth = 1000 Hz    What if we change the sampling rate  Sampling rate = 10 KHz  Sampling rate = 100 KHz Another MATLAB Code % The code is developed by SalimWireless.Com clc; clear; close all; % Parameters fs = 1000; % Sampling frequency in Hz symbolRate = 100; % Symbol rate (baud) span = 6; % Filter span in symbols alpha = 0.25; % Roll-off factor for raised cosine filter % Generate random data symbols numSymbols = 100; % Number of symbols data = randi([0 1], num...

How to use MATLAB Simulink

  MATLAB Simulink is a popular add-on of MATLAB. Here, you can use different blocks like modulator, demodulator, AWGN channel, etc. And you can do experiments on your own.       Steps Go to the 'Simulink' tab at the top navbar of MATLAB. If not found, click on the add-on tab, search 'Simulink,' and then click on it to add. Once you installed the simulation, click the 'new' tap at the top left corner. Then, search the required blocks in the 'Simulink library.' Then, drag it to the editor space. You can double-click on the blocks to see the input parameters Then, connect the blocks by dragging a line from one block's output terminal to another block's input. If the connection is complete, click the 'run' tab in the middle of the top navbar.   After clicking on the run button, your Simulink is ready. Then double-click on any block to see the output   The following block diagram is an example of the MATLAB simulation of 'QPSK...

UGC NET Electronic Science Previous Year Question Papers

Home / Engineering & Other Exams / UGC NET 2022: Previous Year Question Papers ...   NET | GATE | ESE | UGC-NET (Electronics Science, Subject code: 88 ) UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [December 2024] UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [June 2024] UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [December 2023] UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [June 2023] UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [December 2022]  UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [June 2022]   UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [December 2021] UGC Net Electronic Science Questions With Answer Key Download Pdf [June 2020] UGC Net Electronic Science Questions With Answer Key Download Pdf [December 2019] UGC Net Electronic Science Questions With Answer...

Frequency Bands : EHF, SHF, UHF, VHF, HF, MF, LF, VLF and Their Uses

Frequency Bands EHF, SHF, UHF, VHF, HF, MF, LF... 1. Extremely High Frequency (EHF)30 - 300 GHz Uses 5G Networks 5G millimeter wave band , 6G and beyond (Experimental) RADAR, 2. Super High Frequency (SHF)3 - 30 GHz Uses Ultra-wideband (UWB , Airborne RADAR, Satellite Communication, Microwave Link Communication or SATCOM 3. Ultra High Frequency (UHF)300 - 3000 MHz Uses Satellite Communication, Television, surveillance, navigation aids Also, read important wireless communication terms 4. Very High Frequency (VHF)30 - 300 MHz Uses Television, FM broadcast, navigation aids, air traffic control, 5. High Frequency (HF)3 - 30 MHz Uses Telephone, Telegram and Facsimile, ship to coast, ship to aircraft communication, amateur radio, 6. Medium Frequency (MF)300 - 3000 KHz Uses coast guard communication, direction finding, AM broadcasting , maritime radio, 7. Low Frequency (LF)30 - 300 KHz Uses Radio beacons, Navigational Aids 8. Very Low Frequency (VLF)3 - 30 KHz...

Difference between AWGN and Rayleigh Fading

Wireless Signal Processing Gaussian and Rayleigh Distribution Difference between AWGN and Rayleigh Fading 1. Introduction Rayleigh fading coefficients and AWGN, or additive white gaussian noise [↗] , are two distinct factors that affect a wireless communication channel. In mathematics, we can express it in that way.  Fig: Rayleigh Fading due to multi-paths Let's explore wireless communication under two common noise scenarios: AWGN (Additive White Gaussian Noise) and Rayleigh fading. y = h*x + n ... (i) Symbol '*' represents convolution. The transmitted signal  x  is multiplied by the channel coefficient or channel impulse response (h)  in the equation above, and the symbol  "n"  stands for the white Gaussian noise that is added to the signal through any type of channel (here, it is a wireless channel or wireless medium). Due to multi-paths the channel impulse response (h) changes. And multi-paths cause Rayleigh fa...