Simulation Signal Analysis: FFT Spectrum, Power Spectrum, and EMD De-composition with Hilbert-Huang Transform
- Login to Download
- 1 Credits
Resource Overview
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.
Detailed Documentation
This program is designed to plot the FFT spectrum and power spectrum of a simulated signal. It implements Empirical Mode Decomposition (EMD) to break down the signal into intrinsic mode functions (IMFs), visualizes the decomposition results, and computes instantaneous envelopes and frequencies using the Hilbert transform. The program also generates the Hilbert-Huang spectrum for time-frequency representation and the Hilbert marginal spectrum for frequency distribution analysis. Through this tool, users can gain detailed insights into the spectral characteristics of signals and examine various aspects of signal decomposition, enabling deeper analysis of signal properties. The implementation involves key signal processing operations including FFT computation for spectral analysis, EMD algorithm for adaptive signal decomposition, and Hilbert transform for instantaneous parameter extraction.
- Login to Download
- 1 Credits