Kármán Vortex Street Wind Speed Time History Generation
Efficient generation of wind speed time histories using Kármán vortex street model with power spectrum comparison capabilities and customizable code parameters for enhanced analysis
Explore MATLAB source code curated for "速度" with clean implementations, documentation, and examples.
Efficient generation of wind speed time histories using Kármán vortex street model with power spectrum comparison capabilities and customizable code parameters for enhanced analysis
The EZW image compression algorithm in multimedia technology exhibits slower processing speeds when handling resolutions greater than 128x128 pixels due to its hierarchical coding structure and wavelet coefficient scanning methodology.
Video restoration delivers exceptional results with remarkable speed and user-friendly operation, making it highly recommended for trial use.
This algorithm effectively corrects image skew with significantly faster processing speed compared to alternative methods, utilizing efficient edge detection and Hough transform implementations for rapid image alignment.
MATLAB implementation for monopulse radar speed and range measurement, generating 3D simulation plots of velocity, distance, and amplitude
Transfer alignment procedure for inertial navigation systems, implementing velocity plus attitude matching method with sensor data fusion algorithms.
Powell's Algorithm efficiently computes minimum values for multiple functions, offering exceptional speed and precision in numerical optimization problems.
The adaptive genetic algorithm achieves high computational speed but tends to suffer from premature convergence. This program effectively addresses this issue through dynamic parameter adjustment and fitness-based operator adaptation.
Application Background: This project involves two vehicles (target vehicle and ego vehicle) where the transfer function between speed y and throttle control input u is identical for both. The objective is to design a fuzzy controller to achieve: 1) Control the ego vehicle starting from rest to chase a target vehicle moving at 90 km/h located 200m ahead, maintaining a 30m distance. 2) Maintain 30m distance when target speed changes to 110 km/h 3) Maintain 30m distance when target speed changes to 70 km/h Key Technologies: - Construct system simulation model using Simulink - Design fuzzy logic rules and membership functions - Implement fuzzy inference system using Fuzzy Logic Toolbox
This project demonstrates spring-mass system simulation using MATLAB/Simulink, featuring velocity, displacement, and acceleration outputs. Includes ITD method for modal parameter identification and orthogonal normalized mode shape programs with code implementation details.