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SALIM's LAB


Transmission & Reception Block Diagram

Digital Communication Simulator

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This simulator provides an interactive visualization of a digital communication system, guiding the user through each major step involved in transmitting a digital message across a wireless channel. The simulator allows users to input a text message and observe how the message is encoded, transmitted, and decoded through the different blocks.


Analog Modulation & Demodulation

  1. Amplitude Modulation (AM) and Demodulation
  2. Frequency Modulation (FM) and Demodulation
  3. Phase Modulation (PM) and Demodulation

 


Pulse Modulation & Demodulation

  1. Pulse Amplitude Modulation (PAM) and Demodulation
  2. Pulse Width Modulation (PWM) and Demodulation
  3. Pulse Position Modulation (PPM) and Demodulation
  4. Delta Modulation (DM) and Demodulation
  5. Pulse Code Modulation (PCM) and Demodulation

 


Digital Modulation & Demodulation

  1. Amplitude Shift Keying (ASK) and Demodulation
  2. Frequency Shift Keying (FSK) and Demodulation
  3. Phase Shift Keying (PSK) and Demodulation

 



Other Experiments


About SALIM's LAB

About Our Communication Process Simulator Introduction Welcome to our cutting-edge Communication Process Simulator! As a passionate creator, you've developed a powerful tool that enables users to explore and understand various communication techniques. Let's delve into the fascinating world of modulation, demodulation, source coding, channel coding, and decoding. Key Features 1. Modulation and Demodulation: - Our simulator allows users to experiment with different modulation schemes (such as amplitude modulation, frequency modulation, and phase modulation). - Understand how signals are modulated for efficient transmission and demodulated at the receiver end. 2. Source Coding: - Dive into the realm of data compression! Explore techniques like Huffman coding, arithmetic coding, and run-length encoding. - Witness how information is efficiently represented using fewer bits. 3. Channel Coding and Decoding: - Discover error-correcting codes like Reed-Solomon, convolutional codes, and turbo codes. - Simulate noisy channels and observe how these codes enhance data reliability. User Interface (UI) Our user-friendly interface ensures a seamless experience: - Interactive Controls: Adjust modulation parameters, select coding schemes, and visualize signal waveforms. - Visual Aids: Graphs, charts, and diagrams provide real-time feedback. How to Use 1. Access the Simulator: - Visit our website and navigate to the Communication Process Simulator section. - Click "Launch Simulator" to begin your exploration. 2. Choose a Module: - Select the specific communication process you want to simulate (e.g., modulation or source coding). - Set input parameters (e.g., signal frequency, data rate, coding rate). 3. Observe Results: - Visualize modulated signals, coded sequences, and noisy channel effects. - Analyze error rates and compare different coding strategies. Applications 1. Education and Learning: - Ideal for students, researchers, and enthusiasts studying communication systems. - Use it as a teaching aid in classrooms or workshops. 2. Prototyping and Testing: - Engineers can validate communication algorithms before implementing them in real-world systems. - Evaluate performance under varying conditions. Future Enhancements - Interactive Tutorials: Add guided walkthroughs for beginners. - Advanced Coding Techniques: Incorporate LDPC codes, polar codes, and adaptive modulation. - Collaboration Features: Enable users to share simulations and collaborate on projects. Conclusion Our Communication Process Simulator bridges theory and practice, empowering users to unravel the complexities of communication systems. Explore, learn, and innovate with us! ๐Ÿš€

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Admin & Author: Salim

s

  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.


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Popular Posts

ASK, FSK, and PSK

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RMS Delay Spread, Excess Delay Spread and Multi-path ...

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

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Constellation Diagrams of ASK, PSK, and FSK

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MATLAB Code for Pulse Amplitude Modulation (PAM) and Demodulation

๐Ÿ“˜ Overview & Theory ๐Ÿงฎ MATLAB Code 1 ๐Ÿงฎ MATLAB Code 2 ๐Ÿงฎ MATLAB Code for Pulse Amplitude Modulation and Demodulation of Digital data ๐Ÿงฎ Other Pulse Modulation Techniques (e.g., PWM, PPM, DM, and PCM) ๐Ÿ“š Further Reading   Pulse Amplitude Modulation (PAM) & Demodulation MATLAB Script clc; clear all; close all; fm= 10; % frequency of the message signal fc= 100; % frequency of the carrier signal fs=1000*fm; % (=100KHz) sampling frequency (where 1000 is the upsampling factor) t=0:1/fs:1; % sampling rate of (1/fs = 100 kHz) m=1*cos(2*pi*fm*t); % Message signal with period 2*pi*fm (sinusoidal wave signal) c=0.5*square(2*pi*fc*t)+0.5; % square wave with period 2*pi*fc s=m.*c; % modulated signal (multiplication of element by element) subplot(4,1,1); plot(t,m); title('Message signal'); xlabel ('Time'); ylabel('Amplitude'); subplot(4,1,2); plot(t,c); title('Carrier signal'); xlabel('Time'); ylabel('Amplitu...
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Comparisons among ASK, PSK, and FSK | And the definitions of each

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UGC NET Electronic Science Previous Year Question Papers

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MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...

๐Ÿ“˜ Overview ๐Ÿงฎ Simulator for m-ary QAM and m-ary PSK ๐Ÿงฎ MATLAB Code for BPSK, M-ary PSK, and M-ary QAM Together ๐Ÿงฎ MATLAB Code for M-ary QAM ๐Ÿงฎ MATLAB Code for M-ary PSK ๐Ÿ“š Further Reading   MATLAB Script for  BER vs. SNR for M-QAM, M-PSK, QPSk, BPSK %Written by Salim Wireless %Visit www.salimwireless.com for study materials on wireless communication %or, if you want to learn how to code in MATLAB clc; clear; close all; % Parameters num_symbols = 1e5; % Number of symbols snr_db = -20:2:20; % Range of SNR values in dB % PSK and QAM orders to be tested psk_orders = [2, 4, 8, 16, 32]; qam_orders = [4, 16, 64, 256]; % Initialize BER arrays ber_psk_results = zeros(length(psk_orders), length(snr_db)); ber_qam_results = zeros(length(qam_orders), length(snr_db)); % BER calculation for each PSK order and SNR value for i = 1:length(psk_orders) psk_order = psk_orders(i); for j = 1:length(snr_db) % Generate random symbols ...
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