Similarities between Convolution theorem and Fourier optics
Convolution theorem and Fourier optics have 5 things in common (in Unionpedia): Convolution, Fourier transform, Frequency domain, Hartley transform, Signal processing.
Convolution
In mathematics (and, in particular, functional analysis) convolution is a mathematical operation on two functions (f and g) to produce a third function, that is typically viewed as a modified version of one of the original functions, giving the integral of the pointwise multiplication of the two functions as a function of the amount that one of the original functions is translated.
Convolution and Convolution theorem · Convolution and Fourier optics ·
Fourier transform
The Fourier transform (FT) decomposes a function of time (a signal) into the frequencies that make it up, in a way similar to how a musical chord can be expressed as the frequencies (or pitches) of its constituent notes.
Convolution theorem and Fourier transform · Fourier optics and Fourier transform ·
Frequency domain
In electronics, control systems engineering, and statistics, the frequency domain refers to the analysis of mathematical functions or signals with respect to frequency, rather than time.
Convolution theorem and Frequency domain · Fourier optics and Frequency domain ·
Hartley transform
In mathematics, the Hartley transform (HT) is an integral transform closely related to the Fourier transform (FT), but which transforms real-valued functions to real-valued functions.
Convolution theorem and Hartley transform · Fourier optics and Hartley transform ·
Signal processing
Signal processing concerns the analysis, synthesis, and modification of signals, which are broadly defined as functions conveying "information about the behavior or attributes of some phenomenon", such as sound, images, and biological measurements.
Convolution theorem and Signal processing · Fourier optics and Signal processing ·
The list above answers the following questions
- What Convolution theorem and Fourier optics have in common
- What are the similarities between Convolution theorem and Fourier optics
Convolution theorem and Fourier optics Comparison
Convolution theorem has 34 relations, while Fourier optics has 94. As they have in common 5, the Jaccard index is 3.91% = 5 / (34 + 94).
References
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