Explore MATLAB source code curated for "SNR" with clean implementations, documentation, and examples.
Comprehensive OFDM simulation framework incorporating Bit Error Rate (BER) versus Signal-to-Noise Ratio (SNR) performance analysis. This concise implementation covers OFDM MIMO systems and WiMAX broadband applications, featuring parameter configuration for different communication scenarios.
Modulation recognition for 6 different signal types achieving over 90% accuracy when SNR < 10dB. Excellent implementation featuring robust signal processing algorithms and classification techniques!
This simulation demonstrates a comprehensive transceiver system implementation that evaluates Bit Error Rate (BER) as a function of Signal-to-Noise Ratio (SNR). The implementation focuses on BER performance comparison between three advanced receivers - LMS (Least Mean Squares), RLS (Recursive Least Squares), and MLSE (Maximum Likelihood Sequence Estimation) - designed to mitigate the effects of Rayleigh fading channels. The system architecture includes modulation schemes, pilot symbol insertion, AWGN (Additive White Gaussian Noise) channel, and Rayleigh fading channel components, with detailed algorithmic implementations for channel estimation and signal recovery.
Simulation of Capon method's performance in array signal processing under varying SNR conditions, different numbers of array elements, and snapshot counts - original implementation with MATLAB code demonstrations.
Implementing phase estimation for sinusoidal signals through phase difference method, with analysis of SNR and FFT length impacts on estimation accuracy.
Testing the CA-CFAR algorithm on FFT-processed sinusoidal beat signals with programmable signal-to-noise ratio control
Analysis of the relationship between MIMO system outage capacity and signal-to-noise ratio (SNR) with code implementation considerations
Energy detection implementation based on foundational research by Urkowitz (1967), Digham (2003), and Ghasemi (2007). This code generates original signals (single-tone or BPSK baseband), adds AWGN with specified SNR, and performs energy detection with statistical analysis of detection performance.
MATLAB simulation for analyzing BER (Bit Error Rate) in PSK communication systems, designed to evaluate system performance across SNR values ranging from 0 to 10 dB with implementation details for signal generation and error calculation.
MATLAB program for computing Signal-to-Noise Ratio (SNR) and Signal-to-Noise-and-Distortion Ratio (SNDR) through FFT analysis of pipeline analog-to-digital converter output signals, featuring spectral analysis and performance evaluation algorithms