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A 3D spectrogram: The RF spectrum of a battery charger is shown over time A spectrogram is a visual representation of the spectrum of frequencies of a signal as it varies with time. When applied to an audio signal , spectrograms are sometimes called sonographs , voiceprints , or voicegrams .
More commonly used is the power spectral density (PSD, or simply power spectrum), which applies to signals existing over all time, or over a time period large enough (especially in relation to the duration of a measurement) that it could as well have been over an infinite time interval. The PSD then refers to the spectral energy distribution ...
Spectral imaging may use the infrared, the visible spectrum, the ultraviolet, x-rays, or some combination of the above. It may include the acquisition of image data in visible and non-visible bands simultaneously, illumination from outside the visible range, or the use of optical filters to capture a specific spectral range. It is also possible ...
The meaning of tonal in this context is in the sense of the amount of peaks or resonant structure in a power spectrum, as opposed to the flat spectrum of white noise.A high spectral flatness (approaching 1.0 for white noise) indicates that the spectrum has a similar amount of power in all spectral bands — this would sound similar to white noise, and the graph of the spectrum would appear ...
Audio signal processing – for electrical signals representing sound, such as speech or music [12] Image processing – in digital cameras, computers and various imaging systems; Video processing – for interpreting moving pictures; Wireless communication – waveform generations, demodulation, filtering, equalization; Control systems
Spectrum analyzers are also used by audio engineers to assess their work. In these applications, the spectrum analyzer will show volume levels of frequency bands across the typical range of human hearing, rather than displaying a wave. In live sound applications, engineers can use them to pinpoint feedback.
Two-dimensional projection of a hyperspectral cube. Hyperspectral imaging collects and processes information from across the electromagnetic spectrum. [1] The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes.
When a sound signal contains a mixture of all audible frequencies, distributed equally over the audio spectrum, it is called white noise. [ 12 ] The spectrum analyzer is an instrument which can be used to convert the sound wave of the musical note into a visual display of the constituent frequencies.