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- W3021092242 abstract "Spectrum analysis transforms a displacement/time chart into an amplitude/frequency chart known as a spectrum. This analysis consists of decomposing a time-varying signal into its component pure tones. Pure tones are sinusoidal wave forms of constant frequency and amplitude. This decomposition is done digitally upon a signal by a minicomputer using the Fourier transformation, or by filtering the signal. Several types of analyzers exist today that allow a time-domain signal to be converted to a frequency-domain spectrum. The resulting spectrum of all spectrum analyzers is equivalent to the amplitude/frequency plot that is obtained by passing the given signal across a set of constant bandwidth filters, and noting the output of each filter at its center frequency. In wave analyzers or tracking filters, one filter is utilized manually by incrementing the filter across the time input to determine which frequencies exhibit a large amplitude. In time-compression real-time analyzers (RTA), the filter is swept electronically across the input. RTAs use an analog-to-digital converter and digital circuits to speed up the data signal effectively and improve the sweeping filter scan rate, thus creating an apparent time compression. The Fourier analyzer is based on the conversion of time-domain data to a frequency domain with the use of the fast Fourier transform. The fast Fourier transform (FFT) analyzers employ a minicomputer to solve a set of simultaneous equations by matrix methods." @default.
- W3021092242 created "2020-05-13" @default.
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- W3021092242 date "2006-01-01" @default.
- W3021092242 modified "2023-09-23" @default.
- W3021092242 title "Spectrum Analysis" @default.
- W3021092242 doi "https://doi.org/10.1016/b978-075067846-9/50019-5" @default.
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