(2,1,3) Convolutional Code - Implementation and Analysis
(2,1,3) Convolutional Code: A fundamental forward error correction technique with rate 1/2 and constraint length 3, featuring state machine implementation and Viterbi decoding applications.
Professional MATLAB source code with comprehensive documentation and examples
(2,1,3) Convolutional Code: A fundamental forward error correction technique with rate 1/2 and constraint length 3, featuring state machine implementation and Viterbi decoding applications.
Least Squares Estimation of ARMA Model Parameters with Algorithm Implementation Details
MATLAB code implementation of the Shuffled Frog Leaping Algorithm with detailed algorithmic explanation
Code implementations for Device-to-Device (D2D) communication in IoT environments and multi-cell network coordination
Comprehensive English-Chinese translation guide for AVL-CRUISE simulation software parameters across all core modules, enhanced with technical implementation insights.
Enhanced Residual Grey Model Algorithm Optimizing Prediction Accuracy through Secondary Residual Modeling
Monte Carlo Simulation for Photon Transport Problems with Code Implementation Details
Kruskal's Algorithm for Minimum Spanning Tree with MATLAB Code Implementation Details
A comprehensive guide to solving Helmholtz equation through finite element method, including implementation workflow and algorithm explanations
Kalman Filter Implementation for Maneuvering Target Tracking with Current Statistical Model
Advanced Strapdown Inertial Navigation with Algorithm Enhancements and Error Compensation
Sideslip Angle Estimator (Ackman Algorithm) Implementation
Simulink-based stepper motor microstepping drive implementation with four-step current subdivision for enhanced precision and stability
Implementation of Lorenz chaotic system time series computation with fourth-order Runge-Kutta numerical integration method, including parameter initialization, RK4 algorithm workflow, and numerical precision considerations.
Color image segmentation implementing region growing with automatically selected seeds via watershed algorithm
Complete MATLAB implementation guide for K-nearest neighbors (KNN) algorithm covering data preparation, distance calculation, parameter selection, voting mechanism, and performance evaluation with practical code snippets.
Gaussian Mixture Model Parameter Initialization with K-means Approach
Two-dimensional linear discrimination demonstrates robust classification capabilities
Trilateration, Centroid Algorithm, Triangulation Method, and TOA Positioning Algorithm
Extended Kalman Filter Algorithm with Implementation Details