Explore MATLAB source code curated for "信噪比" with clean implementations, documentation, and examples.
This method primarily utilizes wavelet transform for image compression and evaluates compression performance by calculating key metrics including compression ratio and signal-to-noise ratio (SNR) of the compressed image.
Implementation of ECG signal extraction from data acquisition system data using MATLAB programming, addition of Gaussian white noise at 20 SNR, and final processing with Kalman filtering
This program implements SNR-based relay selection and ranking for cooperative relay systems, featuring optimized sorting algorithms and selection mechanisms
Investigation of estimation accuracy rates for signal source number detection under varying SNR conditions using Information Theoretic Criteria (AIC/MDL) and Gerschgorin Disk Theorem-based approaches, including algorithm implementation considerations
Analysis of signal detection probability variations with SNR changes, including MATLAB-based simulation implementation and theoretical performance evaluation
Understanding Signal-to-Noise Ratio: Measurement, Importance, and Implementation in Communication Systems with Code Examples
Fundamental radar system modeling and simulation programs including target tracking, signal-to-noise ratio (SNR), and backscattering coefficient implementations with code-related descriptions
The MUSIC algorithm utilizing 4th-order higher-order cumulants achieves superior direction finding accuracy with improved performance at lower signal-to-noise ratios, implementing cumulant-based covariance matrix estimation for robust source localization.
Main function Alamouti(Nr, max_snr, max_err_symbol, symbol_per_frame) implements the Alamouti space-time coding scheme with the following components: QpskMapping(psudo_bit_sequence) - converts binary data to QPSK modulated symbols; RayleighCH(Nr, Nt) - simulates Rayleigh fading channel characteristics. Example usage: Alamouti(1, 12, 20, 24). Key parameters: 2 transmit antennas and 1 receive antenna configuration, SNR range from 0dB to 12dB, simulation stops when symbol errors exceed 20 at each SNR point, with 24 QPSK symbols per frame.
Implementation code for calculating image PSNR with comprehensive algorithm explanation and practical applications