Fourier Transform Analysis of Signals
Perform Fourier transform on signals to obtain amplitude and phase spectra, with visualization capabilities for both spectral plots.
Explore MATLAB source code curated for "信号" with clean implementations, documentation, and examples.
Perform Fourier transform on signals to obtain amplitude and phase spectra, with visualization capabilities for both spectral plots.
MATLAB simulation code for second-order phase-locked loop (PLL) that accepts input signals and signal-to-noise ratio (SNR), outputs phase-locked signals. Capable of simulating initial frequency offset and frequency ramp conditions through parameter adjustments in the code.
This program implements a blind source separation algorithm utilizing maximum information criterion, demonstrating excellent signal separation capabilities through optimized entropy measurements and statistical independence maximization.
% y = filter(sig, fmin, fmax, fs) % Performs ideal filtering on a signal to achieve low-pass or band-pass filtering functionality % sig: input signal to be filtered % fmin: lower cutoff frequency (when fmin=0, implements low-pass filter; when fmin>0, implements band-pass filter) % fmax: upper cutoff frequency (must satisfy fmax > fmin) % fs: sampling frequency of the input signal % y: filtered output signal
Modulation recognition for 6 different signal types achieving over 90% accuracy when SNR < 10dB. Excellent implementation featuring robust signal processing algorithms and classification techniques!
Correlation reception for UWB pulse position modulated signals with graphical visualization using signal processing algorithms
A sparse decomposition signal reconstruction program utilizing matching pursuit methodology to iteratively match signal components and ultimately reconstruct the original signal through optimized atom selection and combination.
A program for calculating phase differences using cross-correlation method with wavelet-based signal denoising for enhanced accuracy in signal analysis.
This program implements MATLAB-based simulation for signal waveform envelope extraction, utilizing advanced algorithms for accurate envelope detection and signal analysis.
Generate the DEMON spectrum of a signal to visualize its characteristics, providing an intuitive representation of spectral features for enhanced signal analysis.