Explore MATLAB source code curated for "统计模型" with clean implementations, documentation, and examples.
Implementation of single target tracking using a current statistical model for maneuvering targets with Kalman filtering approach, including state prediction and measurement update cycles
This program demonstrates maneuvering target tracking implementation using a Kalman filter with a current statistical model. The code includes complete simulation setup, state prediction, and measurement update cycles. Feel free to use it for learning and adaptation in your own projects!
A simulation program implementing Kalman filter using the "current" statistical model approach with practical implementation details
We developed an enhanced object tracking algorithm by optimizing statistical models and feature extraction methods, achieving superior comprehensive tracking performance through parameter tuning and robustness improvements.
This program implements an Interactive Multiple Model (IMM) filter design utilizing the current statistical model, demonstrating excellent tracking performance with robust multi-model integration for dynamic target estimation.
CS_UKF Current Statistical Model Unscented Kalman Filter Tracking Algorithm with Sigma Point Transformation and Adaptive Noise Covariance Estimation
Maneuvering target tracking with Interactive Multiple Model (IMM) algorithm and "current" statistical model implementation in MATLAB
Implementation of Speech Modeling using Hidden Markov Models - A Statistical Modeling Approach
The Rayleigh fading channel is a statistical model used to characterize radio signal propagation environments. This model assumes that after transmission through a wireless channel, the signal amplitude becomes random (referred to as "fading") with its envelope following a Rayleigh distribution. Implementation typically involves generating complex Gaussian random variables to simulate multipath effects.
Clutter statistical model simulation program featuring correlated Rayleigh distribution model, correlated log-normal model, correlated Weibull model, and correlated K-distribution model with comprehensive parameter configuration and visualization capabilities.