Empirical Mode Decomposition
After applying Empirical Mode Decomposition, three-dimensional plots can be generated using instantaneous frequency, time, and amplitude as coordinates to visualize signal characteristics.
Explore MATLAB source code curated for "三维图" with clean implementations, documentation, and examples.
After applying Empirical Mode Decomposition, three-dimensional plots can be generated using instantaneous frequency, time, and amplitude as coordinates to visualize signal characteristics.
MATLAB program implementing 2D MUSIC algorithm using 8-element uniform circular array with 3D visualization capabilities for azimuth and elevation angle estimation
Optimizing the function f(x) = Σ(i=1 to n) x_i * sin(√|x_i|) using genetic algorithm to obtain convergence values, with visualization through 3D plots and fitness evolution curves.
Comprehensive implementation of MTE (Minimum Total Energy) code for Wireless Sensor Network (WSN) classical algorithms, featuring detailed 3D plotting capabilities and practical code examples for network simulation and analysis.
Compute cyclic spectral correlation for digital modulation signals and generate 3D visualizations with 2D cross-sectional plots
Calculate and visualize time series biphase spectrum using 3D and 2D plots, essential for investigating nonlinear processes with code-driven implementation techniques
3D Spherical Coordinate System: Cartesian to Polar Coordinate Transformation for Three-Dimensional Graphing
Techniques for creating three-dimensional plots and implementing slice display functionality through programming approaches