Editing Vector signal analyzer (section)

===DSP and display stage===
Once the signal is digitized, it is separated into [[quadrature phase|quadrature]] and in-phase components ([[I/Q data]]) using a quadrature detector, which is typically {{cn|date=February 2024}} implemented with a [[Hilbert transform#Discrete Hilbert transform|discrete Hilbert transform]]. Several measurements are made and displayed using these signal components and various [[digital signal processing|DSP]] processes, such as the ones below.

==== Signal spectrum from FFT ====
{{main|Fast Fourier transform}}
A [[fast Fourier transform|FFT]] is used to compute the frequency spectrum of the signal. Usually there is a [[window function|windowing function]] option to limit [[spectral leakage]] and enhance frequency resolution.<ref>Keysight [https://stgwww.keysight.com/cn/zh/assets/7018-02679/technical-overviews/5990-6405.pdf], ''Keysight Vector Signal Analysis Basics'', Published September 30, 2019.</ref> This window is implemented by multiplying it with the digitized values of the sample period before computing the FFT.

==== Constellation diagram ====
{{main|Constellation diagram}}
A [[constellation diagram]] represents a signal modulated by a digital [[modulation]] scheme such as [[quadrature amplitude modulation]] or [[phase-shift keying]]. This diagram maps the magnitude of the [[Quadrature phase|quadrature]] and in-phase components to the vertical and horizontal directions respectively. Qualitative assessments of signal integrity can be made based on [[Constellation diagram#Interpretation|interpretation of this diagram]].

==== Error vector magnitude ====
{{main|Error vector magnitude}}
By representing the quadrature and in-phase components as the vertical and horizontal axes, the [[error vector magnitude]] can be computed as the distance between the ideal and measured constellation points on the diagram. This requires knowledge of the modulated signal in order to compare the received signal with the ideal signal.