Wavelet Coefficient Formula

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Detail Wavelet Coefficient refers to the component of the signal or image that represents the high-frequency details captured by the wavelet transform. Check FAQs
dj[k]=(fs[x]ψ j,k[x]x,x,0,k)
dj[k] - Detail Wavelet Coefficient?fs[x] - Scaling Function Expansion?ψ j,k[x] - Wavelet Expansion Function?k - Integer Index for Linear Expansion?

Wavelet Coefficient Example

With values
With units
Only example

Here is how the Wavelet Coefficient equation looks like with Values.

Here is how the Wavelet Coefficient equation looks like with Units.

Here is how the Wavelet Coefficient equation looks like.

160Edit=(2.5Edit8Editx,x,0,4Edit)
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Wavelet Coefficient Solution

Follow our step by step solution on how to calculate Wavelet Coefficient?

FIRST Step Consider the formula
dj[k]=(fs[x]ψ j,k[x]x,x,0,k)
Next Step Substitute values of Variables
dj[k]=(2.58x,x,0,4)
Next Step Prepare to Evaluate
dj[k]=(2.58x,x,0,4)
LAST Step Evaluate
dj[k]=160

Wavelet Coefficient Formula Elements

Variables
Functions
Detail Wavelet Coefficient
Detail Wavelet Coefficient refers to the component of the signal or image that represents the high-frequency details captured by the wavelet transform.
Symbol: dj[k]
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.
Scaling Function Expansion
Scaling Function Expansion refers to the representation of a signal or an image using a series of scaled and translated versions of a base or fundamental function.
Symbol: fs[x]
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.
Wavelet Expansion Function
Wavelet Expansion Function refers to the representation of a signal or an image as a linear combination of wavelet functions at different scales and positions.
Symbol: ψ j,k[x]
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.
Integer Index for Linear Expansion
Integer Index for Linear Expansion is an integer index of a finite or infinite sum.
Symbol: k
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
int
The definite integral can be used to calculate net signed area, which is the area above the x -axis minus the area below the x -axis.
Syntax: int(expr, arg, from, to)

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How to Evaluate Wavelet Coefficient?

Wavelet Coefficient evaluator uses Detail Wavelet Coefficient = int(Scaling Function Expansion*Wavelet Expansion Function*x,x,0,Integer Index for Linear Expansion) to evaluate the Detail Wavelet Coefficient, The Wavelet Coefficient formula is used to calculate the numerical values obtained from the wavelet transform of a signal or an image and it represents the strength or magnitude of the high-frequency components present in the image at different scales and orientations. Detail Wavelet Coefficient is denoted by dj[k] symbol.

How to evaluate Wavelet Coefficient using this online evaluator? To use this online evaluator for Wavelet Coefficient, enter Scaling Function Expansion (fs[x]), Wavelet Expansion Function j,k[x]) & Integer Index for Linear Expansion (k) and hit the calculate button.

FAQs on Wavelet Coefficient

What is the formula to find Wavelet Coefficient?
The formula of Wavelet Coefficient is expressed as Detail Wavelet Coefficient = int(Scaling Function Expansion*Wavelet Expansion Function*x,x,0,Integer Index for Linear Expansion). Here is an example- 160 = int(2.5*8*x,x,0,4).
How to calculate Wavelet Coefficient?
With Scaling Function Expansion (fs[x]), Wavelet Expansion Function j,k[x]) & Integer Index for Linear Expansion (k) we can find Wavelet Coefficient using the formula - Detail Wavelet Coefficient = int(Scaling Function Expansion*Wavelet Expansion Function*x,x,0,Integer Index for Linear Expansion). This formula also uses Definite Integral (int) function(s).
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