MATLAB Implementation and Visualization of Autocorrelation and Cross-Correlation Functions
Comprehensive guide to computing and plotting autocorrelation and cross-correlation functions using MATLAB with code implementation examples
Explore MATLAB source code curated for "自相关函数" with clean implementations, documentation, and examples.
Comprehensive guide to computing and plotting autocorrelation and cross-correlation functions using MATLAB with code implementation examples
This program computes the autocorrelation function for discrete time series, providing implementation details for correlation analysis algorithms to assist in data pattern recognition.
MATLAB plotting techniques for autocorrelation function and power spectral density with code implementation guidance
Computational methods for cross-correlation functions between two sequences and auto-correlation functions for single sequences, with demonstrations of effects under varying noise power levels using MATLAB implementations.
This article presents a MATLAB-based implementation of using autocorrelation functions to determine delay time for chaotic time series, including algorithmic approaches and key programming considerations for practical applications.
Generate chaotic signals, perform centralization processing, and compute autocorrelation functions for system behavior analysis
A comparative analysis of power spectrum acquisition through FFT-based approaches and Wiener-Khinchin theorem implementation using autocorrelation functions, with code implementation insights.
Cyclostationary Signal Analysis Toolkit featuring autocorrelation functions, seven practical experiments with detailed algorithmic explanations, and MATLAB/Python implementation guidelines
ex9_12 Pulse Compression Processing of Biphase Coded Signals - 13-bit Barker code implementation for radar pulse compression with excellent autocorrelation function properties, demonstrating high-quality pulse compression results
Technical analysis of GALILEO BOC signal autocorrelation function properties with code implementation insights