Explore MATLAB source code curated for "谱分析" with clean implementations, documentation, and examples.
Methods for spectral analysis of continuous and discrete time-domain signals using FFT, including analysis of potential errors and their root causes through implementation examples and algorithm considerations
A spectral analysis plotting function within the HHT French algorithm implementation, featuring code-level insights for visualization techniques
Project: Design and Application of Digital Filters Design Requirements: Using MATLAB software with composite signal separation as an example, this project simulates three key processes from the "Digital Signal Processing" course: spectral analysis, digital filter design, and signal filtering. Implementation involves creating composite signals, designing elliptic IIR filters (low-pass, band-pass types), and analyzing separation/resynthesis results through frequency domain and time domain observations.
Open-source MATLAB-based Ground Penetrating Radar signal processing suite featuring radargram visualization, spectral analysis, mean filtering, DC component removal, FK/KL filtering, FK migration, time-depth conversion, and velocity model analysis with comprehensive algorithm implementations
Implementation of wavelet filter spectral analysis using Mallat decomposition algorithm for signal reconstruction
In spectral analysis, the data length N and sampling frequency fs determine the frequency resolution df=fs/N. To enhance resolution, ZOOM-FFT is commonly employed. This article provides MATLAB code demonstrating how ZOOM-FFT refines spectral resolution through interpolation and resampling.
MATLAB-based spectral analysis of random signals in the frequency domain, covering power spectrum, cross-spectrum, window functions, and practical implementation techniques.
Windowed Discrete Fourier Transform - Conduct spectral analysis of discrete signals using DFT, employing various window functions to suppress spectral leakage caused by signal truncation
Implementation of Hilbert-Huang Transform code featuring empirical mode decomposition and Hilbert spectral analysis for non-stationary signal processing
Comprehensive MATLAB program for white noise testing featuring multiple spectral analysis techniques with detailed algorithm implementations and visualization functions.