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Waterfall plots are often used to show how two-dimensional phenomena change over time. [1] A three-dimensional spectral waterfall plot is a plot in which multiple curves of data, typically spectra, are displayed simultaneously. Typically the curves are staggered both across the screen and vertically, with "nearer" curves masking the ones behind.
Waterfall charts can be used for various types of quantitative analysis, ranging from inventory analysis to performance analysis. [4] Waterfall charts are also commonly used in financial analysis to display how a net value is arrived at through gains and losses over time or between actual and budgeted amounts. Changes in cash flows or income ...
A common format is a graph with two geometric dimensions: one axis represents time, and the other axis represents frequency; a third dimension indicating the amplitude of a particular frequency at a particular time is represented by the intensity or color of each point in the image.
Such a chart can be used in turbine design. Experimentally measured vibration response spectrum as a function of the shaft's rotation speed ( waterfall plot ), the peak locations for each slice usually corresponding to the eigenfrequencies .
English: This psychrometric chart represents the acceptable combination of air temperature and humidity values, according to the PMV/PPD method in the ASHRAE 55-2010 Standard. The comfort zone in blue represents the 90% of acceptability, which means the conditions between -0.5 and +0.5 PMV, or PPD < 10%.
The msFineAnalysis AI version for JEOL's GC-time-of-flight mass spectrometers contains a searchable in-silico database of mass spectra calculated for the 100 million structures in the PubChem database. MSGraph Open source: This tool does qualitative analysis of mass spectrometric (MS) data and is hosted by Sourceforge. MSight Freeware
Welch's method, named after Peter D. Welch, is an approach for spectral density estimation.It is used in physics, engineering, and applied mathematics for estimating the power of a signal at different frequencies.
In time series analysis, singular spectrum analysis (SSA) is a nonparametric spectral estimation method. It combines elements of classical time series analysis, multivariate statistics , multivariate geometry, dynamical systems and signal processing .
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