Signal Power Spectral Density Calculation

This program calculates the power spectral density of signals and applies normalization to the spectrum. The implementation utilizes Welch's periodogram method, which divides the signal into overlapping segments and computes modified periodograms to reduce variance in the estimation. By applying normalization to the power spectrum, the program enables standardized comparison of energy distribution across different signals, facilitating quantitative analysis of spectral characteristics. The algorithm incorporates windowing functions (such as Hamming or Hanning windows) to minimize spectral leakage and includes frequency bin scaling for accurate power representation. This tool provides researchers and engineers with an efficient solution for analyzing signal frequency components and energy distribution patterns, supporting applications in digital signal processing and spectral analysis workflows. The code structure includes configurable parameters for segment length, overlap percentage, and window selection to accommodate various signal types and analysis requirements.