Power Spectrum Analysis
Application Background Power spectrum, short for power spectral density function, is defined as signal power per unit frequency band. It indicates how signal power changes with frequency, representing the distribution of signal power in the frequency domain. Key Technologies Power spectral density provides a power description method distinct from time-domain analysis, commonly used in statistical signal processing. Two fundamental applications are introduced: (1) Definition of white noise and colored noise. If a signal's power spectrum equals a constant, the random process is called white noise; otherwise, it's termed colored noise. (2) Calculating signal's autocorrelation function using its relationship with autocovariance function.