Explore MATLAB source code curated for "数据分析" with clean implementations, documentation, and examples.
A comprehensive MATLAB cellular automata program for traffic flow simulation, featuring configurable parameter settings, rule definitions, numerical simulation capabilities, and built-in data collection for traffic flow analysis with statistical processing functions.
Implementation and statistical data analysis of children's height across different regions using cloud model in MATLAB, featuring algorithmic approaches for uncertainty processing and data characterization.
MATLAB implementation of the Detrended Cross-Correlation Analysis (DCCA) algorithm for analyzing covariance between two datasets, calculating DCCA exponents, and performing statistical validation through T-tests
Time-domain analysis of input signals (acceleration, displacement, velocity), time-frequency transformations of input signals, time-domain analysis of output signals, and time-frequency transformations of output signals with code implementation approaches
A comprehensive MATLAB program for reading and writing SignalTap TBL files, enabling efficient data analysis of SignalTap captured data with specialized data processing functions and visualization capabilities.
A neural network algorithm improved through genetic algorithm optimization, widely applicable for data prediction and analytical tasks with enhanced pattern recognition capabilities
Implementation of SVM regression algorithm for data analysis, classification, and numerical value early warning systems with code integration
Perform correlation detection on given noisy pulse signals, with detection results represented as 1s and 0s. The implementation involves reading data from text files and analyzing statistical characteristics of signals before and after filtering, including mean, variance, autocorrelation, and power spectrum. Design reference signals for correlation processing and detection. Plot both original data curves and correlation result curves to visualize signal transformations.
ARMDA is a specialized MATLAB toolbox designed for mining association rules from transactional data, featuring efficient algorithms for market basket analysis and frequent pattern discovery
As resting-state fMRI gains increasing attention in neuroscience research, there remains a lack of specialized software for its data analysis. We developed REST, a MATLAB-based toolkit that currently offers three core analytical functions: functional connectivity, Regional Homogeneity (ReHo), and Amplitude of Low-Frequency Fluctuations (ALFF). The package implements sophisticated algorithms for brain network analysis and local signal characterization.