5th-Order and 10th-Order Linear Prediction Coding

This MATLAB source code package provides implementations of both 5th-order and 10th-order linear prediction coding (LPC). The codebase allows users to implement and customize linear prediction coding algorithms, including parameter adjustment and optimization for specific applications. Linear prediction coding is a fundamental signal processing technique widely applied in audio processing, speech analysis, image compression and related fields. The implementation includes key functions for autocorrelation calculation, Levinson-Durbin recursion for solving linear prediction coefficients, and residual error computation. Users can modify the prediction order parameter (set to either 5 or 10 in this package) to balance between computational complexity and prediction accuracy. The modular code structure enables easy integration with existing signal processing workflows and provides a practical foundation for understanding LPC algorithm principles. Through this source code, developers and researchers can gain deeper insights into LPC algorithm mechanics, experiment with different signal types, and enhance their coding techniques for real-world signal processing applications. The implementation demonstrates proper handling of frame-based processing and includes examples of coefficient quantization for practical deployment scenarios.