Editing Spectrum analyzer (section)

==== FFT overlapping ====
Minimizing distortion of information is important in all spectrum analyzers. The FFT process applies windowing techniques to improve the output spectrum due to producing less side lobes. The effect of windowing may also reduce the level of a signal where it is captured on the boundary between one FFT and the next. For this reason FFT's in a Realtime spectrum analyzer are overlapped. Overlapping rate is approximately 80%. An analyzer that utilises a 1024-point FFT process will re-use approximately 819 samples from the previous FFT process.<ref>''[https://www.rohde-schwarz.com/us/applications/implementation-of-real-time-spectrum-analysis-white-paper_230854-15815.html Dr. Florian Ramian – Implementation of Real-Time Spectrum Analysis] {{webarchive|url=https://web.archive.org/web/20180209182434/https://www.rohde-schwarz.com/us/applications/implementation-of-real-time-spectrum-analysis-white-paper_230854-15815.html |date=2018-02-09 }}'', p. 6, March, 2015, accessed February 9, 2018.</ref>