Explore MATLAB source code curated for "短时傅里叶变换" with clean implementations, documentation, and examples.
This program implements speech signal analysis through Short-Time Fourier Transform, including windowing and framing processing with detailed code implementation for spectral feature extraction
Time-domain representation using Short-Time Fourier Transform (STFT) with 1000 sampling points, applying windowing functions, and visualizing original signals through 3D spectrograms and contour plots.
Implementing Short-Time Fourier Transform with adjustable parameters such as window size and shape for optimized signal analysis.
Signal time domain analysis techniques including continuous wavelet analysis, Wigner-Ville distribution, short-time Fourier transform, and their MATLAB implementations with algorithmic explanations.
MATLAB-based implementations of Short-Time Fourier Transform (STFT) and Wavelet Transform, complete with comprehensive documentation and code examples for signal processing applications
Rectangular Window Function: Properties and MATLAB Code Implementation
Implementation of Short-Time Fourier Transform (STFT) based spectrogram plotting in MATLAB environment
Source code implementation for Short-Time Fourier Transform with algorithmic explanations and practical applications in signal processing
Basic demonstrations of Short-Time Fourier Transform featuring rectangular window and Gaussian window implementations
Fingerprint image enhancement techniques using Gabor filters, including morphological segmentation, morphological thinning, windowed short-time Fourier transform enhancement, orientation map estimation and smoothing, and ridge frequency estimation and smoothing with MATLAB code implementation approaches