MATLAB Simulation of Doppler Frequency Shift in Relation to Distance
A MATLAB-based simulation exploring the relationship between Doppler frequency shift and distance, including code implementation and mathematical modeling
Calculating Distance Between Two Points on the Earth's Surface
This program calculates the distance between two points on the Earth's surface by inputting their latitude and longitude coordinates. It implements the Haversine formula to compute great-circle distances and can be applied across various engineering fields including construction, transportation, and aviation.
Implementation of Optimal Control Method
This example employs optimal control methodology using quadratic performance indices to achieve optimal values for both the sliding distance of the cart and the energy consumption throughout the process. The program includes MATLAB files: initial.m (initialization), yjlqgctr.m (controller design), cartoon.m (visualization), and Simulink model simlqgyj.slk (simulation).
Large-Scale Fading Models for Multiple Scenarios
Simulation of large-scale fading models across diverse scenarios based on transmission frequency, antenna height, distance, and other influencing factors, with implementation insights for wireless communication modeling
Calculating Diffraction Patterns of Crosshairs at Different Distances
Computational simulation of diffraction patterns for crosshair structures at varying propagation distances, employing Gaussian beam illumination for accurate physical modeling
MATLAB Implementation of "Clustering by Fast Search and Find of Density Peaks"
Background The paper "Clustering by Fast Search and Find of Density Peaks," published in the June 2014 issue of Science, introduced an innovative clustering algorithm. This MATLAB implementation reproduces the algorithm from the paper. Key Technology The algorithm operates on the hypothesis that cluster centers are surrounded by neighbors with lower local density and are relatively distant from any points with higher density. For each data point, two quantities are computed: the point's local density and its distance to the nearest point with higher density. Both values depend on the pairwise distances between data points. The MATLAB code calculates these metrics efficiently using vectorized distance computations and density estimation functions.
Parameter Estimation for Near-Field Signals
Parameter estimation techniques for near-field signals, including signal direction and range, with implementation examples using array processing algorithms
Feature Selection Using Genetic Algorithm and Distance Metrics
Distance-based feature selection with genetic algorithm optimization for AI and pattern recognition applications, implementing dimensionality reduction through fitness evaluation and chromosome operations.
Multi-Agent Formation Control
Implementation of multi-agent formation control where dispersed agents cluster together and maintain specific inter-agent distances while moving forward
MATLAB Code Implementation for Space-Time Adaptive Processing
Space-Time Adaptive Processing with Time-Range Dimension Moving Target Detection - Fundamental Program Implementation