BPSK Resources

Showing items tagged with "BPSK"

Generate a random binary sequence exceeding 1000 bits and implement BPSK, QPSK, and 16QAM modulation schemes. Key outputs include: 1) Low-pass filtered waveform visualization (10 symbol periods); 2) Signal eye diagram analysis (5 symbol periods) with technical discussion; 3) In-band and out-of-band power spectral density plots using customizable low-pass filter parameters.

MATLAB 253 views Tagged

This code performs Bit Error Rate (BER) simulations for both BPSK and QPSK modulation schemes across various Signal-to-Noise Ratio (SNR) values. The simulation transmits at least 10^6 bits for statistical reliability and evaluates performance across 10 different SNR iterations to generate comprehensive BER curves.

MATLAB 461 views Tagged

Simulink implementation of a BPSK communication system under Rayleigh fading channel conditions. The model demonstrates the performance degradation caused by Rayleigh fading compared to AWGN channels, enabling side-by-side BER performance analysis through configurable simulation parameters.

MATLAB 258 views Tagged

This collection features MATLAB simulations of core communication theories, including BPSK, QPSK, OFDM implementations, along with signal attenuation and delay modeling. While not original creations, these simulations represent classic implementations. All files are in *.m format with practical coding approaches for signal processing and communication system analysis.

MATLAB 237 views Tagged

The code package contains comprehensive implementations of digital communication processes including modulation (BPSK, QPSK, OQPSK, 16QAM), transmission through fading channels, demodulation at the receiver, and bit error rate (BER) statistical analysis

MATLAB 221 views Tagged

This MATLAB m-file implements a comprehensive MPSK (BPSK, QPSK, 8PSK) simulation with Gray coding, comparing theoretical and experimental bit error rate (BER) performance. The code includes practical satellite link design examples using QPSK and 8PSK modulation schemes under band-limited conditions where bit rate (Rb) exceeds channel bandwidth (Wc). The simulation employs constellation mapping with Gray coding to minimize bit errors and implements Monte Carlo methods for BER calculation.

MATLAB 330 views Tagged