Explore MATLAB source code curated for "自相关函数" with clean implementations, documentation, and examples.
MATLAB implementation for speech signal analysis featuring short-time spectrum computation, autocorrelation function, and zero-crossing rate calculation. The codebase provides well-structured functions with clear algorithmic implementations suitable for both educational and research purposes.
Simulation of speech signal endpoint detection involving calculations of short-term energy, zero-crossing rate, and autocorrelation functions with algorithm implementation insights.
Time domain processing techniques for speech signals, including short-time energy, short-time average magnitude, short-time zero-crossing rate, and short-time autocorrelation function analysis methods.
MATLAB Program for DFCW Signal Structure and Autocorrelation Function in MIMO Radar Systems
The correlation function method estimates the autocorrelation function R from sequences, then applies Fourier transform to obtain power spectrum estimation. This approach provides strong estimation accuracy when the time delay is relatively small compared to the data length. Implementation typically involves computing lagged products and applying FFT algorithms for efficient spectral analysis.
Computing signal power spectrum through correlation functions, including autocorrelation for signal self-similarity analysis and cross-correlation for inter-signal relationship assessment.
Analysis routines for several BOC signals, with code implementation details for GNSS applications. As Global Navigation Satellite Systems increasingly adopt BOC modulated signals for spread-spectrum ranging, these routines address the challenge of multiple correlation peaks in BOC autocorrelation functions that prevent traditional delay lock loops (DLL) from accurately estimating code phase.
Generating Gaussian white noise using MATLAB with visualization of time-domain waveform, autocorrelation function, and power spectrum density through complete signal processing workflow.
Applications of Autocorrelation Function in Noise Detection, Signal Identification, and Useful Signal Extraction
Implementation of Binary Sequence Generator with Power Spectrum and Autocorrelation Function Analysis