Explore MATLAB source code curated for "仿真信号" with clean implementations, documentation, and examples.
This program plots the FFT spectrum and power spectrum of a simulated signal. It utilizes Empirical Mode Decomposition (EMD) to decompose the signal, visualizes the resulting intrinsic mode functions (IMFs), and computes instantaneous envelopes and frequencies. Additionally, it generates the Hilbert-Huang spectrum and Hilbert marginal spectrum for comprehensive time-frequency analysis.
Principles and Implementation of Wavelet Time-Frequency Plot Generation Through a Practical Example: Using a Synthetic Signal Composed of Two Sine Waves at 100Hz and 200Hz
Using MATLAB to simulate bearing fault signals by constructing bearing fault simulation signals, where the bearing's natural frequency fn=3000Hz, displacement constant y0=5, damping coefficient ξ=0.1, impact fault occurrence period=0.01s, sampling frequency fs=20kHz, and number of sampling points N=4096. Requirements: Construct bearing fault simulation signals based on the above conditions, plot their time-domain waveform and frequency spectrum diagram.