6-DOF Robotic Arm Kinematic Simulation and Trajectory Generation
MATLAB-based six-degree-of-freedom robotic arm motion simulation with trajectory generation algorithms, including forward/inverse kinematics implementations
Explore MATLAB source code curated for "计算" with clean implementations, documentation, and examples.
MATLAB-based six-degree-of-freedom robotic arm motion simulation with trajectory generation algorithms, including forward/inverse kinematics implementations
Implementing the Method of Moments to compute field distribution for thin-wire antennas with customizable parameters like antenna length, including code-based algorithmic explanations for impedance matrix formulation and excitation vector handling.
Implementation of n-player non-cooperative game Nash equilibrium based on the source code from the paper "An Optimization Formulation to Compute Nash Equilibrium in finite Games" with algorithm analysis and key function descriptions
Multi-channel radar pattern synthesis and angle error calculation with real experimental measurement data, including code implementation details for array processing and error analysis algorithms.
This program implements Support Vector Machine calculations with full functionality, personally validated through experimental testing. The implementation includes core SVM algorithms for classification tasks.
Calculating Lyapunov exponents for fractional-order differential equations to determine chaotic behavior in nonlinear dynamical systems, with implementation focusing on numerical algorithms and stability analysis techniques.
This algorithm efficiently computes the forward kinematics for industrial robots, particularly focusing on six-degree-of-freedom rotary axis robotic systems with implementation insights.
This program calculates the Peak Signal-to-Noise Ratio (PSNR) between two color images to evaluate image processing performance, with implementation details for RGB channel processing and MSE calculation.
Computing various antenna array configurations including linear arrays, planar arrays, and circular arrays using MATLAB with code implementation details
Computational methods for determining Restricted Isometry Property (RIP) factors of measurement matrices and sparsity bases in compressed sensing systems, with implementation considerations.