Power Spectrum Estimation Implementation in MATLAB Environment

This MATLAB-based power spectrum estimation program employs classical computational methods while incorporating comprehensive plotting functionality. The implementation allows users to perform accurate spectral estimation and visualization of signal frequency information during signal analysis tasks. Users can input their signal data, execute the program, and obtain corresponding power spectrum plots. Key algorithmic components include periodogram-based calculations using MATLAB's built-in functions like fft() for Fast Fourier Transform and periodogram() for direct spectral estimation. The program features automated axis labeling, dB scale conversion, and customizable plot parameters to enhance result interpretation. Through this tool, users can gain deeper insights into signal spectral characteristics, facilitating more effective signal processing and analysis workflows. The implementation supports both single-channel and multi-channel signal processing with options for window function selection and spectral averaging techniques.