Signals and Spectra topic include: Various aspects of signals and spectra which include signal classification, digital communication signal processing, autocorrelation, concepts of noise, process types and information on baseband systems. A signal's spectrum is a representation of its magnitude and phase characteristics as a function of frequency. A signal can be thought of as a composition of multiple sinusoidal signals with different amplitude, frequency, and phase. The spectrum shows the amplitude and phase as a function of the frequency of the sinusoidal components that make up the... Show more

Signals and Spectra topic include: Various aspects of signals and spectra which include signal classification, digital communication signal processing, autocorrelation, concepts of noise, process types and information on baseband systems.

A signal's spectrum is a representation of its magnitude and phase characteristics as a function of frequency. A signal can be thought of as a composition of multiple sinusoidal signals with different amplitude, frequency, and phase. The spectrum shows the amplitude and phase as a function of the frequency of the sinusoidal components that make up the signal. 

According to Fourier theory, any waveform can be represented by a sum of a (possibly infinite) number of sinusoids, each with a specific amplitude, frequency, and phase. This representation is called the signal's spectrum. 
The frequency spectrum of a digital signal is its measure of energy density and presentation in the frequency domain. 

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