Explore MATLAB source code curated for "数据" with clean implementations, documentation, and examples.
Importing data from Excel spreadsheets, then analyzing frequency spectrum, phase spectrum, and total harmonic distortion (THD) with visualization plots using MATLAB.
Implementation of synthesized 3D audio effects using Head-Related Transfer Functions (HRTF), including MATLAB programs and related datasets for audio spatialization
This implementation utilizes PCA for dimensionality reduction, preserving 90% of critical data variance through eigenvalue decomposition. The code includes comprehensive comments and comes with sample datasets, while allowing users to integrate custom data for flexible testing.
The Mahalanobis distance effectively removes outlier samples by identifying deviations from data distribution patterns - simply update your dataset parameters for implementation
1. Example.m serves as the main driver script that orchestrates the 2D-EMD process by calling necessary subroutines when executed 2. 9.png contains the input data matrix that will be decomposed into multiple intrinsic mode functions (IMFs) through the EMD algorithm when running Example.m
Custom-developed integrated navigation Kalman filtering program featuring sensor data acquisition, initial alignment algorithms, and strapdown inertial navigation calculation modules with optimized sensor-specific processing
Implementation of second-order polynomial estimation for response surfaces via least squares method, featuring high algorithm accuracy with flexible 3D data substitution capabilities and detailed code implementation insights
Gridding is a computational method for interpolating data from an arbitrary 2D sampling pattern to a uniform grid, enabling rapid image reconstruction in MRI applications. This package includes MATLAB scripts and MEX function implementations for gridding-based reconstruction algorithms.
Complete SINS/GPS integrated navigation package including MATLAB code implementations, required sensor datasets, post-processing analysis plots, and comprehensive documentation. Ready-to-use solution for navigation system developers.
Implementation of pedestrian detection using HOG algorithm, with required data provided in *.dat files. Although positive and negative training samples are not included, users can train their own models and integrate them into the project to detect pedestrians in static images.