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・ Wavelength (1967 film)
・ Wavelength (1983 film)
・ Wavelength (album)
・ Wavelength (disambiguation)
・ Wavelength (magazine)
・ Wavelength (song)
・ Wavelength (soundtrack)
・ WaveLength Charity
・ Wavelength division multiple access
・ Wavelength Music Arts Projects
・ Wavelength selective switching
・ Wavelength shifter
・ Wavelength switched optical network
・ Wavelength-dispersive X-ray spectroscopy
・ Wavelength-division multiplexing
Wavelet
・ Wavelet entropy
・ Wavelet for multidimensional signals analysis
・ Wavelet modulation
・ Wavelet noise
・ Wavelet packet decomposition
・ Wavelet scalar quantization
・ Wavelet transform
・ Wavelet transform modulus maxima method
・ Wavelet Tree
・ Wavell Heights, Queensland
・ Wavell Hinds
・ Wavell Starr
・ Wavell State High School
・ Wavell Wakefield, 1st Baron Wakefield of Kendal


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Wavelet : ウィキペディア英語版
Wavelet
A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases, and then decreases back to zero. It can typically be visualized as a "brief oscillation" like one might see recorded by a seismograph or heart monitor. Generally, wavelets are purposefully crafted to have specific properties that make them useful for signal processing. Wavelets can be combined, using a "reverse, shift, multiply and integrate" technique called convolution, with portions of a known signal to extract information from the unknown signal.
For example, a wavelet could be created to have a frequency of Middle C and a short duration of roughly a 32nd note. If this wavelet was to be convolved with a signal created from the recording of a song, then the resulting signal would be useful for determining when the Middle C note was being played in the song. Mathematically, the wavelet will correlate with the signal if the unknown signal contains information of similar frequency. This concept of correlation is at the core of many practical applications of wavelet theory.
As a mathematical tool, wavelets can be used to extract information from many different kinds of data, including – but certainly not limited to – audio signals and images. Sets of wavelets are generally needed to analyze data fully. A set of "complementary" wavelets will decompose data without gaps or overlap so that the decomposition process is mathematically reversible. Thus, sets of complementary wavelets are useful in wavelet based compression/decompression algorithms where it is desirable to recover the original information with minimal loss.
In formal terms, this representation is a wavelet series representation of a square-integrable function with respect to either a complete, orthonormal set of basis functions, or an overcomplete set or frame of a vector space, for the Hilbert space of square integrable functions.
== Name ==
The word ''wavelet'' has been used for decades in digital signal processing and exploration geophysics. The equivalent French word ''ondelette'' meaning "small wave" was used by Morlet and Grossmann in the early 1980s.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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