Power Spectrum Estimation Using Various Algorithms - Code Implementation and Analysis

This documentation provides implementations of various algorithms for power spectrum estimation. The included methods are Periodogram, Blackman-Tukey (BT), Bartlett, Welch, and Burg algorithms. Each implementation features proper signal processing techniques such as windowing functions for spectral leakage reduction and averaging methods for variance improvement. Additionally, we provide comprehensive experimental reports with detailed code comments explaining key functions like FFT operations, autocorrelation calculations, and parameter optimization. For beginners, these resources offer deep insights into algorithm principles, practical applications, and guidance for selecting the most suitable method based on specific requirements like resolution needs and computational efficiency. The code examples demonstrate proper handling of discrete signals, spectral smoothing techniques, and performance comparisons between different estimation approaches. This documentation serves as an excellent assistant for your power spectrum estimation projects, bridging theoretical concepts with practical MATLAB/Python implementation details.