The Evolution of Extended Kalman Filter
This article traces the development journey of Extended Kalman Filter, providing valuable insights for beginners studying optimal estimation techniques, with practical code implementation considerations.
Explore MATLAB source code curated for "扩展" with clean implementations, documentation, and examples.
This article traces the development journey of Extended Kalman Filter, providing valuable insights for beginners studying optimal estimation techniques, with practical code implementation considerations.
The Non-Uniform Fourier Transform extends the traditional Fourier Transform, particularly suitable for processing non-uniformly sampled data or computing spectra at arbitrary frequencies. This implementation typically employs algorithms like the NUFFT (Non-Uniform Fast Fourier Transform) which uses interpolation techniques to map non-uniform data points to a uniform grid for efficient computation.
Source code from my recent paper focusing on extending ICA algorithms with reference signals, implementing a multi-reference fixed-point algorithm for independent component analysis with enhanced robustness.
Main Simulation Program for Extended Kalman Filter in 3D TDOA-AOA Localization with Comprehensive Code Implementation
MATLAB-implemented finite element program for crack propagation computation with extended finite element method (XFEM) capabilities
Extended Kalman Filter Toolbox containing multiple filtering algorithms with detailed examples and implementation guidance for effective learning
Implementation of a SLAM algorithm utilizing compressed extended Kalman filtering technique with custom trajectory and landmark configurations, featuring animated visualization of the localization process
MATLAB-based implementation of an improved particle swarm optimization algorithm for 6-node power grid planning expansion - a sophisticated and valuable program featuring optimized algorithm architecture with enhanced convergence properties
A channel estimation implementation for MIMO-OFDM systems featuring a 2x2 antenna configuration, designed with extensible architecture for custom modifications such as additional antennas or increased system dimensionality
MATLAB source code for Multilinear Principal Component Analysis, initially developed for face recognition and gait recognition applications, with subsequent extensions to various other domains