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The PC’s monitor displays the measurements results – but that’s where the Fourier Analyzer dependence on the PC stops.  All of the data acquisition, data management, signal processing and other computationally intensive operations are reserved for the Fourier Analyzer’s high-performance measurement and analysis hardware.  Built-in analog and digital anti-alias filters automatically track all of the bandwidth settings.  A selection of frame sizes allows the user to choose the best trade-off between acquisition time and frequency resolution.  When high frequency resolution around a specific signal is needed, the option "zoom" feature can be used.  It allows one to focus up to 1600 spectral line with a span as small as 10 Hz about the frequency of interest.
The PC’s monitor displays the measurements results – but that’s where the Fourier Analyzer dependence on the PC stops.  All of the data acquisition, data management, signal processing and other computationally intensive operations are reserved for the Fourier Analyzer’s high-performance measurement and analysis hardware.  Built-in analog and digital anti-alias filters automatically track all of the bandwidth settings.  A selection of frame sizes allows the user to choose the best trade-off between acquisition time and frequency resolution.  When high frequency resolution around a specific signal is needed, the option "zoom" feature can be used.  It allows one to focus up to 1600 spectral line with a span as small as 10 Hz about the frequency of interest.


'''[[wikipedia:Fast_Fourier_transform|Fast Fourier transform]]''' (FFT) is an algorithm that computes the [[wikipedia:Discrete_Fourier_transform|descrete Fourier transform]] (DFT) of a sequence, or its inverse (IDFT). [[Wikipedia:Fourier_analysis|Fourier analysis]] converts a signal from its original domain (often time or space) to a representation in the [[Wikipedia:Frequency_domain|frequency domain]] and vice versa..
To learn more about FFT read '''[[wikipedia:Fast_Fourier_transform|Fast Fourier transform]]''' on at https://en.wikipedia.org/wiki/Fast_Fourier_transform.
 
[[File:FFT_of_Cosine_Summation_Function.png|center|500px|Fourier analysis]]


Front panel inputs/outputs are: CH1, CH2, CH3, and CH4 each with a [[BNC connector]] (1 MΩ; 200 pF; ±30 V); and OUTPUT [[BNC connector]] (50Ω; ±10 V; signal general output capable of a variety of pre-defined, as well as user-defined, signals.)
Front panel inputs/outputs are: CH1, CH2, CH3, and CH4 each with a [[BNC connector]] (1 MΩ; 200 pF; ±30 V); and OUTPUT [[BNC connector]] (50Ω; ±10 V; signal general output capable of a variety of pre-defined, as well as user-defined, signals.)
Jyohe
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