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2. Spectrum analyzer - Wikipedia

   en.wikipedia.org/wiki/Spectrum_analyzer

   A spectrum analyzer from 2005 A modern real time spectrum analyzer from 2019. A spectrum analyzer measures the magnitude of an input signal versus frequency within the full frequency range of the instrument. The primary use is to measure the power of the spectrum of known and unknown signals.

3. Real-time analyzer - Wikipedia

   en.wikipedia.org/wiki/Real-time_analyzer

   A real-time analyzer (RTA) is a professional audio device that measures and displays the frequency spectrum of an audio signal; a spectrum analyzer that works in real time. An RTA can range from a small PDA -sized device to a rack-mounted hardware unit to software running on a laptop .

4. Signal analyzer - Wikipedia

   en.wikipedia.org/wiki/Signal_analyzer

   A signal analyzer is an instrument that measures the magnitude and phase of the input signal at a single frequency within the IF bandwidth of the instrument. It employs digital techniques to extract useful information that is carried by an electrical signal. [1] In common usage the term is related to both spectrum analyzers and vector signal ...

5. Signal processing - Wikipedia

   en.wikipedia.org/wiki/Signal_processing

   Nonlinear signal processing involves the analysis and processing of signals produced from nonlinear systems and can be in the time, frequency, or spatiotemporal domains. [8] [9] Nonlinear systems can produce highly complex behaviors including bifurcations, chaos, harmonics, and subharmonics which cannot be produced or analyzed using linear methods.

6. Least-squares spectral analysis - Wikipedia

   en.wikipedia.org/.../Least-squares_spectral_analysis

   Least-squares spectral analysis (LSSA) is a method of estimating a frequency spectrum based on a least-squares fit of sinusoids to data samples, similar to Fourier analysis. [ 1 ] [ 2 ] Fourier analysis, the most used spectral method in science, generally boosts long-periodic noise in the long and gapped records; LSSA mitigates such problems. [ 3 ]

7. Time–frequency analysis for music signals - Wikipedia

   en.wikipedia.org/wiki/Time–frequency_analysis...

   Musical sound can be more complicated than human vocal sound, occupying a wider band of frequency. Music signals are time-varying signals; while the classic Fourier transform is not sufficient to analyze them, time–frequency analysis is an efficient tool for such use. Time–frequency analysis is extended from the classic Fourier approach.