Explore MATLAB source code curated for "信噪比" with clean implementations, documentation, and examples.
Implementation of collaborative spectrum sensing using energy detection in cognitive radio systems, featuring detection probability analysis under varying SNR conditions, sampling points, and cooperative nodes with MATLAB/Python code examples for practical reference.
Implementation of relay selection performance simulation with measurements for outage probability, signal-to-noise ratio (SNR), and collision probability
Wavelet threshold denoising with comparisons of different decomposition levels, input signal-to-noise ratios, threshold values, and threshold functions. The original signal is a Gaussian pulse, implemented through MATLAB's wavelet toolbox functions including wavedec, wthresh, and waverec.
MATLAB implementation of VAD (Voice Activity Detection) employing frequency-domain methods for SNR (Signal-to-Noise Ratio) calculation, featuring spectral analysis techniques and signal processing algorithms.
Calculate Signal-to-Noise Ratio (SNR) using MATLAB, implementing the formula as signal energy divided by noise energy
Implementing JPEG compression on images and calculating the output signal-to-noise ratio (SNR) to quantify image quality degradation.
Implementation of power spectrum estimation using Burg algorithm with adjustable signal-to-noise ratio (SNR), model order P, and resolution analysis capabilities
Reference code for digital watermarking featuring checksum, LSB (Least Significant Bit), and patchwork embedding methods, including SNR calculation and watermark removal implementation with algorithm explanations
Provides source code implementations for several OFDM simulations, including plots demonstrating the relationship between bit error rate (BER) and signal-to-noise ratio (SNR), with detailed algorithm explanations.
This MATLAB program simulates maximum signal-to-noise ratio (SNR) combining for BPSK modulation in flat Rayleigh fading channels, providing code implementation for signal processing analysis and performance evaluation under varying SNR conditions.