Fast Fourier Transform Analyzers

Fast Fourier Transform Analyzers

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The fast Fourier transform (FFT) can be used to implement a spectrum or network analyzer by digitizing the input waveform and performing an FFT on the time domain signal to get the frequency domain representation. What seems to be a simple measurement technique often turns out to be much more complicated in practice. Given reasonable computational power (usually in the form of a microprocessor or custom integrated circuit), the FFT-based analyzer can provide significant speed improvement over the more traditional swept analyzer. FFT analyzers usually have limited bandwidth (less than a few hundred kilohertz), due to the lack of fast, high-resolution analog-to-digital converters. The FFT analyzer is also referred to as the dynamic signal analyzer.

Chapter Contents:

  • 4.1 The Bank-of-Filters Analyzer
  • 4.2 Frequency Resolution
  • 4.3 The FFT Analyzer
  • 4.4 Sampled Waveform
  • 4.5 Sampling Theorem
  • 4.6 FFT Properties
  • 4.7 Controlling the Frequency Span
  • 4.8 Band Selectable Analysis
  • 4.9 Leakage
  • 4.10 Hanning Window
  • 4.11 Flattop Window
  • 4.12 Uniform Window
  • 4.13 Exponential Window
  • 4.14 Selecting a Window Function
  • 4.15 Oscillator Characterization
  • 4.16 Time Domain Display
  • 4.17 Network Measurements
  • 4.18 Phase
  • 4.19 Spectral Maps
  • 4.20 Electronic Filter Characterization
  • 4.21 Cross Power Spectrum
  • 4.22 Coherence
  • 4.23 Correlation Measurements
  • 4.24 Autocorrelation
  • 4.25 Cross Correlation
  • 4.26 Histogram
  • 4.27 Real-Time Bandwidth
  • 4.28 Real-Time Bandwidth and RMS Averaging
  • 4.29 Real-Time Bandwidth and Transients
  • 4.30 Overlap Processing
  • 4.31 Swept Sine
  • 4.32 Octave Measurements
  • References

Inspec keywords: time-domain analysis; analogue-digital conversion; spectral analysers; frequency-domain analysis; waveform analysis; network analysers; fast Fourier transforms; signal resolution

Other keywords: microprocessor; dynamic signal analyzer; frequency domain representation; input waveform; high-resolution analog-to-digital converter; time domain signal; custom integrated circuit; computational power; fast Fourier transform analyzer; network analyzer; spectrum analyzer; FFT analyzer

Subjects: Signal processing and detection; Integral transforms; A/D and D/A convertors; Network and spectrum analysers; Mathematical analysis

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