MATLAB Implementation of Burg Algorithm for Digital Signal Processing
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This MATLAB implementation demonstrates the Burg algorithm for digital signal processing, which is particularly effective for signal parameter estimation. The implementation includes tunable parameters that allow users to customize the algorithm's behavior according to their specific requirements. Key features include the ability to adjust reflection coefficients and prediction error parameters through iterative computations. The algorithm employs forward and backward prediction errors to minimize the least squares criterion, making it highly suitable for both spectrum analysis and spectral line estimation tasks. The code structure includes functions for coefficient calculation, error minimization, and spectral density estimation, ensuring robust performance across various signal types. This implementation provides outstanding results for applications requiring high-resolution spectral analysis and efficient parameter extraction from signal data.
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