Explore MATLAB source code curated for "高斯白噪声" with clean implementations, documentation, and examples.
This MATLAB program simulates constellation diagrams for QPSK and 16QAM modulated signals passing through additive white Gaussian noise (AWGN) and Rayleigh fading channels, implementing comprehensive communication system modeling with configurable parameters and performance analysis capabilities.
Simulation of a 16QAM digital communication system including modulation/demodulation, up/down conversion, additive white Gaussian noise (AWGN), with corresponding graphical outputs for each processing stage
Estimating the frequency of a sinusoidal signal contaminated with additive white Gaussian noise via FFT involves computing the Fourier transform of x(n) to obtain the spectrum, identifying the frequency corresponding to the maximum magnitude, and calculating the mean squared error over multiple iterations. By varying the signal-to-noise ratio (SNR), simulations demonstrate that the mean squared error decreases as SNR increases, highlighting the method's robustness in noisy environments.
Methods and Implementation for Generating Random Gaussian White Noise
Two practical MATLAB implementation approaches for generating Gaussian white noise, thoroughly tested and verified for reliability and accuracy.
Capability to Generate Gaussian White Noise
Baseband Signal BPSK Simulation with Implementation Details