Explore MATLAB source code curated for "短时傅立叶变换" with clean implementations, documentation, and examples.
This analysis explores key aspects of speech signal processing using MATLAB, including short-time energy computation, endpoint detection algorithms, and power spectrum analysis with short-time Fourier transform characteristics. The study provides practical code implementation approaches for each technique.
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.
Performing time-frequency analysis using Short-Time Fourier Transform with comparative spectrograms illustrating the impact of varying window sizes on frequency resolution and temporal precision.
MATLAB code implementations demonstrating various forms of Short-Time Fourier Transform, including detailed algorithm explanations and practical usage examples to aid learning and understanding
Implementing Time-Frequency Analysis Using Short-Time Fourier Transform