Logo
Unionpedia
Communication
Get it on Google Play
New! Download Unionpedia on your Android™ device!
Install
Faster access than browser!
 

Fast Fourier transform and Julia (programming language)

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Fast Fourier transform and Julia (programming language)

Fast Fourier transform vs. Julia (programming language)

A fast Fourier transform (FFT) is an algorithm that samples a signal over a period of time (or space) and divides it into its frequency components. Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science, without the typical need of separate compilation to be fast, while also being effective for general-purpose programming, web use or as a specification language.

Similarities between Fast Fourier transform and Julia (programming language)

Fast Fourier transform and Julia (programming language) have 8 things in common (in Unionpedia): Central processing unit, Fast Fourier transform, FFTW, Floating-point arithmetic, Numerical analysis, Parallel computing, Recursion, Time series.

Central processing unit

A central processing unit (CPU) is the electronic circuitry within a computer that carries out the instructions of a computer program by performing the basic arithmetic, logical, control and input/output (I/O) operations specified by the instructions.

Central processing unit and Fast Fourier transform · Central processing unit and Julia (programming language) · See more »

Fast Fourier transform

A fast Fourier transform (FFT) is an algorithm that samples a signal over a period of time (or space) and divides it into its frequency components.

Fast Fourier transform and Fast Fourier transform · Fast Fourier transform and Julia (programming language) · See more »

FFTW

The Fastest Fourier Transform in the West (FFTW) is a software library for computing discrete Fourier transforms (DFTs) developed by Matteo Frigo and Steven G. Johnson at the Massachusetts Institute of Technology.

FFTW and Fast Fourier transform · FFTW and Julia (programming language) · See more »

Floating-point arithmetic

In computing, floating-point arithmetic is arithmetic using formulaic representation of real numbers as an approximation so as to support a trade-off between range and precision.

Fast Fourier transform and Floating-point arithmetic · Floating-point arithmetic and Julia (programming language) · See more »

Numerical analysis

Numerical analysis is the study of algorithms that use numerical approximation (as opposed to general symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics).

Fast Fourier transform and Numerical analysis · Julia (programming language) and Numerical analysis · See more »

Parallel computing

Parallel computing is a type of computation in which many calculations or the execution of processes are carried out concurrently.

Fast Fourier transform and Parallel computing · Julia (programming language) and Parallel computing · See more »

Recursion

Recursion occurs when a thing is defined in terms of itself or of its type.

Fast Fourier transform and Recursion · Julia (programming language) and Recursion · See more »

Time series

A time series is a series of data points indexed (or listed or graphed) in time order.

Fast Fourier transform and Time series · Julia (programming language) and Time series · See more »

The list above answers the following questions

Fast Fourier transform and Julia (programming language) Comparison

Fast Fourier transform has 154 relations, while Julia (programming language) has 146. As they have in common 8, the Jaccard index is 2.67% = 8 / (154 + 146).

References

This article shows the relationship between Fast Fourier transform and Julia (programming language). To access each article from which the information was extracted, please visit:

Hey! We are on Facebook now! »