Explore MATLAB source code curated for "信号" with clean implementations, documentation, and examples.
MATLAB simulation program that generates QPSK modulated signals by strictly following QPSK modulation procedures - separately creating I-channel and Q-channel signals using randomly generated modulation data with cosine carrier waves, then combining both channels to produce the final modulated signal.
Simulation of white noise and Rayleigh-distributed noise as signal background noise, followed by background noise denoising analysis using wavelet denoising, EMD denoising, and combined EMD-wavelet denoising methods with code implementation details.
Implementation of direction estimation algorithms using uniform circular arrays (UCA) with simulated power spectrum visualization. Comparative analysis with uniform linear arrays (ULA) demonstrates superior estimation performance of circular configurations, including robustness analysis under varying signal-to-noise ratios.
Study on the effect of coherent sources on direction finding by configuring two coherent signals with MATLAB-based simulation setup and performance analysis
A comprehensive MATLAB implementation for multivariate multiscale entropy analysis, crucial for advanced signal processing research, originally sourced from an academic website with enhanced computational efficiency and parameter optimization
Performing wavelet transform on signals, implementing coefficient suppression through wavelet filtering using hard thresholding method
Full-degrees-of-freedom space-time adaptive processing elucidates the spatiotemporal relationships among clutter, interference, and signals, involving techniques like covariance matrix estimation, adaptive weight calculation, and filtering implementation.
Simulation of the Wigner-Ville time-frequency distribution, enabling analysis of signal characteristics by modifying signal parameters, with implementation examples using MATLAB's time-frequency analysis toolbox
OFDM system simulation featuring convolutional coding and interleaving techniques, supporting both 16-QAM and QPSK modulation schemes, with channel impairments including multi-path fading and Rayleigh fading. The implementation incorporates comprehensive channel estimation, frequency offset compensation, and SNR analysis.
Pseudo-random codes, also known as PN codes, are essential sequences in spread spectrum communication. Spread spectrum communication fundamentally operates by modulating original signals with highly correlated pseudo-random sequences, causing the signal to manifest according to the sequence's characteristics. The implementation involves generating m-sequences using linear feedback shift registers (LFSRs) with specific primitive polynomials. The MATLAB code below demonstrates m-sequence generation where different polynomial configurations produce sequences of varying orders, with key parameters including tap positions and initial states determining correlation properties and sequence length.