Explore MATLAB source code curated for "功率谱" with clean implementations, documentation, and examples.
A comparative analysis of power spectrum acquisition through FFT-based approaches and Wiener-Khinchin theorem implementation using autocorrelation functions, with code implementation insights.
An EMD programming implementation example demonstrating signal processing techniques including Fast Fourier Transform (FFT), power spectral analysis, Hilbert-Huang Transform (HHT), and envelope spectrum computation, with enhanced code-related explanations for algorithm implementation.
Implementation of EEG spectrum and power spectrum calculation with visualization. Core methodologies include wavelet transform, wavelet coefficient reconstruction, and computation of power spectra across frequency bands, with code-level explanations of signal processing algorithms.
Generate Rayleigh clutter with Gaussian power spectrum characteristics and create corresponding visualization plots, including implementation details for spectral shaping and statistical property verification.
Modulation signal recognition can be achieved by detecting different power spectral densities of various modulation schemes, though this method performs poorly under low SNR conditions. Using cyclic power spectrum for recognition demonstrates excellent performance in low SNR scenarios, as verified through simulations with MATLAB signal processing implementations.
This program enables you to generate colored noise through a Butterworth filter implementation, with capabilities to visualize noise waveforms and compute corresponding power spectra. The code demonstrates practical filter design and signal processing techniques for noise analysis.
This undergraduate thesis project implemented power spectrum extraction of EEG signals during left/right hand movements in male and female participants using frequency-division analysis to isolate distinctive features for left and right hand motions. The MATLAB-based program features clear modular structure with functions for signal preprocessing, frequency band separation, and power spectrum calculation using FFT algorithms. Includes complete EEG datasets and detailed program documentation.
Efficient generation of wind speed time histories using Kármán vortex street model with power spectrum comparison capabilities and customizable code parameters for enhanced analysis
MATLAB implementation for FFT processing and spectrum visualization, including RMS spectrum plots, power spectrum analysis, and inverse FFT spectrum diagrams with code demonstrations
Implementation of various line coding techniques including Return-to-Zero AMI, HDB3, and Miller codes with signal generation, waveform visualization, and power spectrum analysis for digital communication systems