Explore MATLAB source code curated for "高斯白噪声" with clean implementations, documentation, and examples.
Generalized Time Delay Extraction Algorithm via Cross-Correlation - This MATLAB-based implementation handles non-Gaussian signals and Gaussian white noise scenarios with configurable correlation methods and signal preprocessing capabilities.
MATLAB source code for generating QPSK signals with added Doppler shift, Gaussian white noise, and multipath effects to simulate real-world wireless communication scenarios
Approaches for generating Gaussian white noise commonly used in communication system simulation and analysis, including random number generation and statistical property verification
MATLAB-based simulation analyzing Bit Error Rate performance of BPSK modulation in UWB systems with additive white Gaussian noise, featuring comprehensive time-domain and frequency-domain graphical outputs
Implementing time delay estimation using MATLAB with Gaussian white noise signals at specified signal-to-noise ratios, including algorithm details and key function explanations.
MATLAB source code for FSK modulation and demodulation with Gaussian white noise analysis, modulation implementation, eye diagram visualization, and signal-to-noise ratio calculation
This study explores the implementation of m-sequences in frequency hopping communication systems, providing MATLAB-based generation functions for frequency hopping sequences and presenting bit error rate (BER) performance curves under additive white Gaussian noise (AWGN) and multi-user interference conditions.
This documentation contains three MATLAB code segments demonstrating generation of Gaussian random signals, Gaussian white noise, and colored noise, along with numerical characteristic calculations, spectral analysis, power spectrum analysis, and basic low-pass filter design explanations.
MATLAB channel simulation functions including white Gaussian noise, Rayleigh channel, and Rician channel modeling with implementation details
MATLAB M-file implementation for BPSK modulation and demodulation with BER calculation under additive white Gaussian noise conditions, featuring signal generation, noise addition, and error rate analysis.