Explore MATLAB source code curated for "SCH" with clean implementations, documentation, and examples.
Enhanced Multi-Objective Particle Swarm Optimization Algorithm effectively solves classic multi-objective optimization problems including ZDT, KUR, and SCH benchmark functions. The implementation requires only modifications to the f1 and f2 objective functions, featuring adaptive velocity updates and Pareto dominance mechanisms for efficient convergence.
Cell initial search represents a fundamental procedure in GSM systems. This MATLAB program implements the second phase of GSM cell search, specifically designed to detect synchronization bursts (SCH) and perform timing synchronization. The algorithm processes sampled input data converted into appropriate formats, employing correlation-based pattern matching to identify SCH sequences. When detected, the program outputs successful discovery messages and calculates precise timing information using peak detection algorithms. For unsuccessful attempts, it automatically scans subsequent bursts with configurable search parameters. The implementation includes comprehensive algorithmic documentation detailing frame synchronization techniques and timing recovery methods.