M, Gold, and Walsh Sequences: Autocorrelation and Cross-correlation Simulations
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Resource Overview
Simulation codes for autocorrelation and cross-correlation analysis of M, Gold, and Walsh sequences, including implementation of compound sequences with algorithm explanations and MATLAB/Python key functions.
Detailed Documentation
The following provides simulation codes for autocorrelation and cross-correlation analysis of M, Gold, and Walsh sequences, incorporating compound sequence implementations. These codes enable performance testing and scenario-based analysis for communication systems. The implementation employs correlation algorithms using sliding window techniques and fast Walsh-Hadamard transforms for efficient computation. Key functions include sequence generation modules, correlation calculators with peak detection, and visualization tools for analyzing sidelobe characteristics. Users can modify parameters like sequence length and modulation schemes, or extend functionality for advanced multi-sequence interference analysis. For technical support or feedback regarding the code structure and optimization methods, please contact our development team.
The simulation framework supports:
- Autocorrelation analysis using cyclic shift operations
- Cross-correlation evaluation with parallel processing
- Compound sequence synthesis through linear combinations
- Statistical performance metrics (peak-to-sidelobe ratio, orthogonality factors)
- Customizable visualization modules for correlation plots
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