Manuals/calci/FOURIERANALYSIS

FOURIERANALYSIS (Array,NewTableFlag)

• $Array$ is the set of numbers.
• $NewTableFlag$ is the value true or false.
  • FOURIERANALYSIS() is a method of dissociating time series or spatial data into sets of sine and cosine waves

Description

• This function gives the value of the discrete fourier tranform.
• Fourier analysis is the study of the way general functions may be represented by sums of simpler trigonometric functions.
• It converts a set of numbers into another equal sized set of numbers.
• It is the process of analyzing a complex wave by separating it into a plurality of component wave, each of a particular frequency, amplitude and phase displacement.
• In $FOURIERANALYSIS(Array,NewTableFlag)$, $Array$is the set of real numbers.
• But the size of the set to be a power of 2.i.e., Array is the size of the numbers can be 2,4,8,16....
• So we can form the Fourier transform of a set of 64 numbers, but not a set of 50 numbers.
• In the discrete Fourier Transform (DFT) decomposes the input time series into a set of cosine functions.
• It is having the following properties

 1.The transformed data is no longer in the time domain.
 2. The transformation operates on the whole data set. It is not a point-by-point transformation.
 3.The transformed data is complex (not real-valued).

• So the output of this function is Hermite symmetric, which means that the positive and negative real parts will be identical, and that the positive and negative imaginary parts will be the same, but of opposite sign.
• The formula for the DFT is :

$x_{m}={\frac {1}{N}}\sum _{k=1}^{N}A_{k}*cos(\phi _{k}+k*\omega *m)$ where $A_{k}$ is the amplitude,$\phi _{k}$ is the phase value in radians.

• $\omega$ is the fundamental or principal radian frequency and $\omega ={\frac {2\pi }{T}}$, $T$ is the number of observations in the equally-spaced input time series.$N$ is the is the number of pairs.
• This function will give the result as error when

  1. any one of the argument is nonnumeric.           
  2. The number of input value is not a power of 2.

Examples

Spreadsheet

	A	B	C	D	E	F	G	H
1	21	28	34	46	15	10	4	9
2	6	17	22	16	39	50	11	-27

1. =FOURIERANALYSIS(A1:D1)

Fourier Analysis

Input	Output
21	129+0i
28	-13.000000000000002+18i
34	-19+0i
46	-12.999999999999998 -18i

1. =FOURIERANALYSIS(A2:H2)

Fourier Analysis

Input	Output
6	134+0i
17	-86.7401153701776 -18.07106781186548i
22	12.000000000000005 -78i
16	20.740115370177605+3.928932188134528i
39	22+0i
50	20.740115370177605 -3.928932188134521i
11	11.999999999999995+78i
-27	-86.7401153701776+18.071067811865472i

Related Videos

FOURIER Analysis

See Also

• FIBONNACI
• PASCAL

References

• Fourier Analysis

• List of Main Z Functions

• Z3 home