Explore MATLAB source code curated for "信噪比" with clean implementations, documentation, and examples.
This document includes implementations for calculating residual point counts, mean square error (MSE), signal-to-noise ratio (SNR), and edge equivalent number of looks (ENL). Each calculation incorporates algorithmic explanations and key function descriptions.
Implementation of image quality assessment metrics including Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), Mean Absolute Error (MAE), and Image Fidelity with MATLAB code examples. Uses fundamental programming approaches to help beginners understand objective image evaluation standards through practical implementation.
Implementation of a typical OFDM modulation and demodulation system that generates BER vs SNR simulation plots and theoretical curves using ofdm.m as the main execution file
This program performs bit error rate analysis across a range of SNR values. For each SNR level, it implements: random signal generation with QPSK modulation, Alamouti space-time block coding, transmission through Rayleigh fading channels with AWGN addition, maximum ratio combining at the receiver, and maximum likelihood detection to calculate symbol error rates. The implementation demonstrates that a symbol error rate of 10^-3 corresponds to approximately 12-13 dB SNR, validating the Alamouti scheme's performance in MIMO systems.
Evaluating azimuth estimation performance across varying SNR levels using a uniform circular array; implementing spectral peak search algorithm to locate maximum value coordinates; calculating root mean square error through 100 Monte Carlo trials with code implementation insights
Performance analysis of energy detection under varying Signal-to-Noise Ratio (SNR) conditions with corresponding implementation approaches
MATLAB simulation of signal-to-noise ratio performance for BPSK modulation in Rayleigh fading channels, including BER analysis and implementation methodology.
MATLAB implementation for analyzing power spectral density and constellation diagrams of QPSK modulation using rectangular and root raised cosine pulses across various signal-to-noise ratio (SNR) channels. The code includes pulse shaping techniques, modulation/demodulation algorithms, and SNR simulation modules. Simply execute the main function to generate all results.
Comprehensive calculation and analysis of signal-to-noise ratio in infrared focal plane array detector images, including algorithmic implementation and performance evaluation methods
Voice Activity Detection (VAD) serves as a fundamental technology in speech recognition with extensive applications across both commercial and civil domains. Accurate endpoint detection becomes particularly challenging in low signal-to-noise ratio (SNR) environments, especially during silent segments or transitional periods before and after phonation.