Skip to main content

Electronic Components and Their Functions

 


1. Resistor

A transformer is a component that resists current flow. For example, you're probably aware that a smartphone runs on 3–4 volts. The smartphone's charger then converts the 220-volt AC to 5-6 volt DC. To step down the AC voltage to 5-6 volt DC at the charger, we'll need resistors, transformers, and capacitors.


2. Capacitor 

It does not allow dc current to pass through circuits. Filtration, voltage storage, and ac to dc conversion are other primary roles. We all know that a capacitor prevents DC current from flowing. DC current can produce rippling in communication systems, degrading signal quality. As a result, it's critical to get the desired frequency through electronic circuitry. With the help of capacitors and inductors, we may pass high pass, low pass, or baseband signals as required.


3. Inductance

It stores currently. It Prevents sudden changes of current in the circuit. High inductance allows it to pass high frequency, and low inductance allows it to pass low frequency. When a source is connected to a resistor R, a capacitor C, and an inductor L, the overall impedance is, Z = √{R2 + (L2 – C2)} Remember that resistance, inductance, and capacitance are represented by R, L, and C, respectively.


4. Fuse

It guards against voltage spikes in the circuit. The electronic component fuse is highly useful. It works as a buffer. It contains a negligible amount of resistance. As a result, it's written as 0 (zero) resistance on a smartphone or laptop's PCB. Let's assume,  a  gadget operates at 6V DC. If the input voltage is 8 volts, the fuse will burn and the circuit will be disconnected, saving the device.


5. Diode 

A diode permits current to travel in just one direction. As a result, the diode is frequently utilized as a rectifier. Switching is another function of a diode. AC current can be converted to DC current with the right combination of diodes and capacitors. We already know that a diode operates as a switch, passing the positive half-cycles of the AC supply and charging the capacitor. It also disables the AC supply's negative half. Capacitor discharges at that point. We obtain DC current at the output.


6. Transistor

It works as an electronic switch and amplifies the signal.

Also Read: Star to Delta Conversion and delta to star 

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

Constellation Diagram of ASK in Detail

A binary bit '1' is assigned a power level of E b \sqrt{E_b}  (or energy E b E_b ), while a binary bit '0' is assigned zero power (or no energy).   Simulator for Binary ASK Constellation Diagram SNR (dB): 15 Run Simulation Noisy Modulated Signal (ASK) Original Modulated Signal (ASK) Energy per bit (Eb) (Tb = bit duration): We know that all periodic signals are power signals. Now we’ll find the energy of ASK for the transmission of binary ‘1’. E b = ∫ 0 Tb (A c .cos(2П.f c .t)) 2 dt = ∫ 0 Tb (A c ) 2 .cos 2 (2П.f c .t) dt Using the identity cos 2 x = (1 + cos(2x))/2: = ∫ 0 Tb ((A c ) 2 /2)(1 + cos(4П.f c .t)) dt ...

MATLAB Code for Rms Delay Spread

RMS delay spread is crucial when you need to know how much the signal is dispersed in time due to multipath propagation, the spread (variance) around the average. In high-data-rate systems like LTE, 5G, or Wi-Fi, even small time dispersions can cause ISI. RMS delay spread is directly related to the amount of ISI in such systems. RMS Delay Spread [↗] Delay Spread Calculator Enter delays (ns) separated by commas: Enter powers (dB) separated by commas: Calculate   The above calculator Converts Power to Linear Scale: It correctly converts the power values from decibels (dB) to a linear scale. Calculates Mean Delay: It accurately computes the mean excess delay, which is the first moment of the power delay profile. Calculates RMS Delay Spread: It correctly calculates the RMS delay spread, defined as the square root of the second central moment of the power delay profile.   MATLAB Code  clc...

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   Start Simulator for binary ASK Modulation Message Bits (e.g. 1,0,1,0) Carrier Frequency (Hz) Sampling Frequency (Hz) Run Simulation Simulator for binary FSK Modulation Input Bits (e.g. 1,0,1,0) Freq for '1' (Hz) Freq for '0' (Hz) Sampling Rate (Hz) Visualize FSK Signal Simulator for BPSK Modulation ...

Periodogram in MATLAB

Step 1: Signal Representation Let the signal be x[n] , where: n = 0, 1, ..., N-1 (discrete-time indices), N is the total number of samples. Step 2: Compute the Discrete-Time Fourier Transform (DTFT) The DTFT of x[n] is: X(f) = ∑ x[n] e -j2Ï€fn For practical computation, the Discrete Fourier Transform (DFT) is used: X[k] = ∑ x[n] e -j(2Ï€/N)kn , k = 0, 1, ..., N-1 Here: k represents discrete frequency bins, f_k = k/N * f_s , where f_s is the sampling frequency. Step 3: Compute Power Spectral Density (PSD) The periodogram estimates the PSD as: S_x(f_k) = (1/N) |X[k]|² Where: S_x(f_k) represents the power of the signal at frequency f_k . The factor 1/N normalizes the power by the signal length. Step 4: Convert to Decibels (Optional) For visualization, convert PSD to decibels (dB): S_x dB (f_k) = 10 lo...

Theoretical vs. simulated BER vs. SNR for ASK, FSK, and PSK

📘 Overview 🧮 Simulator for calculating BER 🧮 MATLAB Codes for calculating theoretical BER 🧮 MATLAB Codes for calculating simulated BER 📚 Further Reading BER vs. SNR denotes how many bits in error are received for a given signal-to-noise ratio, typically measured in dB. Common noise types in wireless systems: 1. Additive White Gaussian Noise (AWGN) 2. Rayleigh Fading AWGN adds random noise; Rayleigh fading attenuates the signal variably. A good SNR helps reduce these effects. Simulator for calculating BER vs SNR for binary ASK, FSK, and PSK Calculate BER for Binary ASK Modulation Enter SNR (dB): Calculate BER Calculate BER for Binary FSK Modulation Enter SNR (dB): Calculate BER Calculate BER for Binary PSK Modulation Enter SNR (dB): Calculate BER BER vs. SNR Curves MATLAB Code for Theoretical BER % The code is written by SalimWireless.Com clc; clear; close all; % SNR va...

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

📘 Overview of BER and SNR 🧮 Online Simulator for BER calculation of m-ary QAM and m-ary PSK 🧮 MATLAB Code for BER calculation of M-ary QAM, M-ary PSK, QPSK, BPSK, ... 📚 Further Reading 📂 View Other Topics on M-ary QAM, M-ary PSK, QPSK ... 🧮 Online Simulator for Constellation Diagram of m-ary QAM 🧮 Online Simulator for Constellation Diagram of m-ary PSK 🧮 MATLAB Code for BER calculation of ASK, FSK, and PSK 🧮 MATLAB Code for BER calculation of Alamouti Scheme 🧮 Different approaches to calculate BER vs SNR 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. BER = (number of bits received in error) / (total number of tran...

MATLAB Code for ASK, FSK, and PSK

📘 Overview & Theory 🧮 MATLAB Code for ASK 🧮 MATLAB Code for FSK 🧮 MATLAB Code for PSK 🧮 Simulator for binary ASK, FSK, and PSK Modulations 📚 Further Reading ASK, FSK & PSK HomePage MATLAB Code MATLAB Code for ASK Modulation and Demodulation % The code is written by SalimWireless.Com % Clear previous data and plots clc; clear all; close all; % Parameters Tb = 1; % Bit duration (s) fc = 10; % Carrier frequency (Hz) N_bits = 10; % Number of bits Fs = 100 * fc; % Sampling frequency (ensure at least 2*fc, more for better representation) Ts = 1/Fs; % Sampling interval samples_per_bit = Fs * Tb; % Number of samples per bit duration % Generate random binary data rng(10); % Set random seed for reproducibility binary_data = randi([0, 1], 1, N_bits); % Generate random binary data (0 or 1) % Initialize arrays for continuous signals t_overall = 0:Ts:(N_bits...

OFDM for 4G & 5G

📘 Overview 📘 Example: (OFDM using QPSK) 🧮 MATLAB Codes 🧮 Q & A and Summary 📚 Further Reading   Orthogonal Frequency Division Multiplexing When a signal with high bandwidth traverses through a medium, it tends to disperse more compared to a signal with lower bandwidth. A high-bandwidth signal comprises a wide range of frequency components. Each frequency component may interact differently with the transmission medium due to factors such as attenuation, dispersion, and distortion. OFDM combats the high-bandwidth frequency selective channel by dividing the original signal into multiple orthogonal multiplexed narrowband signals. In this way it, overcomes the inter-symbol interferences (ISI) issue. Block Diagram     ‘k’ indicates kth position in a input symbol N is the number of subcarriers   Example: (OFDM using QPSK) 1.        Input Parameters: N   Number of Input bits: 128 Number ...