Explore MATLAB source code curated for "信号" with clean implementations, documentation, and examples.
This implementation includes both maximum likelihood estimation gradient algorithm and Fast ICA algorithm, which have been successfully debugged. Special attention should be paid to whether the input signal x is provided as a row vector or column vector during implementation and debugging.
A comprehensive MATLAB library for wavelet packet transform, enabling advanced signal processing and analysis. Recommended for download and implementation in signal processing projects.
This tutorial demonstrates how to perform spectrum analysis using FFT with a practical MATLAB example. The signal_analyzer.rar package contains test data (test1.txt) with time-series input/output signals and a MATLAB script (signal_analyzer.m) that performs FFT analysis to calculate frequency characteristics, amplitude attenuation in dB, and phase differences between signals.
MATLAB code implementations for extracting signal instantaneous phase and instantaneous frequency with detailed algorithm explanations and practical application examples
A MATLAB/Simulink-based model for hybrid electric vehicle mode switching that enables transitions between various operational modes based on different input signals. The implementation involves stateflow diagrams or conditional logic blocks to manage mode transitions, with signal-based triggering mechanisms controlling the switching behavior between electric-only, engine-only, and hybrid power modes.
OMP Orthogonal Matching Pursuit Algorithm for Sparse Signal Solutions in Signal Compression Applications
Implementation of ambiguity function computation and plotting for arbitrary signals, with successful testing on Barker codes, linear frequency modulation (LFM) signals, and pulse signals. Includes MATLAB-based algorithmic implementation for time-frequency analysis and signal characterization.
Estimation of 2D Signal Angle of Arrival and Parameters with Matrix Pencil Algorithm Implementation
Perform short-time Fourier transform on signals, apply cyclostationary processing to the output sequence, and create 3D visualization using the mesh function with implementation details.
The Nonsubsampled Contourlet Transform (NSCT) is an advanced multi-scale geometric analysis approach that effectively characterizes linear singularity features in signals through multi-directional filter banks, enabling comprehensive signal decomposition across scales and orientations.