Explore MATLAB source code curated for "高斯白噪声" with clean implementations, documentation, and examples.
Contains two MATLAB programs for speech enhancement: one for adding white Gaussian noise to clean speech files (WAV) with customizable SNR levels, and another for measuring speech signal-to-noise ratio to evaluate enhancement performance.
Developed and implemented LTE signal source programming following 3GPP LTE specifications, incorporating OFDM modulation, Rayleigh channel modeling, and Additive White Gaussian Noise (AWGN). Simulated signal transmission from base station to relay nodes or UE receivers with comprehensive technical implementations.
In this simulation, Gaussian white noise was incorporated into the channel, and the receiver utilized coherent demodulation for signal recovery. The implementation includes detailed documentation with code-level explanations.
MATLAB implementation of QAM modulation/demodulation with Rayleigh channel modeling and additive white Gaussian noise (AWGN) simulation
Generation of complex noise signals, including Gaussian white noise and colored noise (with definable filters)
Image denoising algorithms in MATLAB that deliver optimal performance against Gaussian white noise, a prevalent challenge in digital image processing.
Implementation of QPSK modulation and demodulation under Gaussian white noise and Rayleigh fading channel conditions (excluding multipath interference), using quasi-analytical methods for bit error rate performance calculation. The simulation workflow covers signal generation, filter configuration, QPSK modulation, additive white Gaussian noise injection, Rayleigh channel fading, QPSK demodulation, and BER computation with algorithm-specific implementation details.
A wavelet domain median filtering denoising method that effectively removes both Gaussian white noise and impulse noise through multi-resolution analysis and nonlinear filtering techniques.
Multiple access interference has consistently been a critical factor limiting CDMA system capacity. This program simulates the effects of multiple access interference on individual users and analyzes its impact when modeled as additive white Gaussian noise. The implementation includes signal generation, interference modeling using orthogonal codes, and BER calculation through Monte Carlo simulations.
Implementation of adaptive interference cancellation technique for Additive White Gaussian Noise removal, featuring two correlated noise generation methods - one with single random noise source and another with dual random noise sources. The program calculates signal-to-noise ratio improvement and mean square error gain after denoising, demonstrating algorithm performance through quantitative metrics.