Functions for Plotting Power Spectrum

Resource Overview

Ready to use in MATLAB, these power spectrum plotting functions provide convenient signal analysis capabilities

Detailed Documentation

The functions can be directly opened in MATLAB and utilize built-in functions to plot power spectra. Using power spectrum functions enables analysis and research of signal frequency characteristics. Power spectrum describes the distribution of signal power across different frequencies, and plotting power spectrum diagrams provides intuitive visualization of signal frequency components. MATLAB's power spectrum functions typically implement algorithms like Welch's method or periodogram estimation, which involve windowing, Fourier transforms, and averaging operations to reduce variance. Key functions such as pwelch(), periodogram(), and spectrogram() offer various parameter options including window size, overlap percentage, and sampling frequency specification. This makes power spectrum analysis more accessible for spectral research and signal processing applications, allowing users to customize FFT points, window types (Hamming, Hanning, etc.), and frequency resolution according to specific requirements.